990-PF Efile Data Catalog
Private foundations · release efilepf_v3_1
The NCCS 990-PF Efile database turns the Form 990-PF returns that private foundations file electronically with the IRS into 80 relational tables, one or more for each Part of the form and its attached statements. Every table is published for each tax year in two formats, CSV and Parquet.
| Release | efilepf_v3_1 (published 2026-10-09) |
| Returns | Form 990-PF (private foundations and section 4947(a)(1) charitable trusts) |
| Tax years | 2009–2025 (2025 is a partial year) |
| Tables | 80 tables, 1,351 table-year files |
| Filings | 1,234,785 returns |
| Labels | concordance990 02de916 |
| Public charities | Form 990 and 990-EZ returns are a separate database: efile_v3_1 catalog |
About this release
Data sources and processing
The Taxpayer First Act of 2019 made electronic filing mandatory for Form 990-PF for tax years beginning after July 1, 2019, so recent waves cover nearly every private foundation; earlier years include only foundations that chose to e-file. NCCS builds the database from the XML files indexed by the Giving Tuesday 990 Data Commons, supplemented with returns the IRS e-file index lists but the Data Commons index never picked up (see the release notes below).
Each XML element (xpath) is assigned to a research variable and a table by the Master Concordance (concordance990), and the tables are built with the ef2 package. A table holds one Part of the form: either one row per filing (1:1), or several rows per filing for repeating groups such as officers, grants paid, or capital gains (1:M). Tables in Part 99 hold the statements foundations attach to the return (accounting fees, depreciation, other investments, and so on).
The database also carries the two tables shared by every e-filed return: the filing header (F9-P00-T00-HEADER) and the signature block (F9-P02-T00-SIGNATURE). Here they hold 990-PF filings only. F9_00_ORG_EXEMPT_TYPE in the header is empty for 990-PF returns.
Efile data are organized by tax year, the year in which the foundation’s fiscal year begins (TAX_PERIOD_BEGIN_DATE). The IRS releases returns in monthly batches, so the most recent tax year is always incomplete. Form 990-PF was renumbered in 2023 (Part VI became Part V, and so on); the tables follow the pre-2023 numbering, and the part titles below give both.
Every table carries the keys needed to join tables to each other and to the BMF: OBJECTID (OID- followed by 18 digits, one per filing), EIN2, and TAX_YEAR. One-to-many tables add TABLE_ID (TID-NNN-NNN-NNN, one per row). Every row also carries URL, a link to the source XML return.
R packages
- ef2 Parses IRS 990 e-file XML into the relational tables published here.
- concordance990 The Master Concordance: maps XML xpaths to variables and tables; holds the data dictionaries.
- panel990 Downloads efile tables and builds longitudinal panels, with BMF fields attached.
- fiscal Fiscal health accounting metrics from 990 data.
- governance Governance scores for nonprofits from Part VI.
- peopleparser Splits officer and director names into parts and infers gender.
- titleclassifier Classifies officer titles into standard roles.
Data dictionaries
Variable names, labels, descriptions, data types, and form locations for every table are documented in the concordance990 data dictionaries. Each table below links to its own section of the 990-PF dictionary.
Coverage
E-filed returns by tax year and return type (efile_v3_1 and efilepf_v3_1)
| Tax year | 990 | 990-EZ | 990-PF | Total |
|---|---|---|---|---|
| 2009 | 33,311 | 15,470 | 2,345 | 51,126 |
| 2010 | 123,025 | 63,326 | 25,249 | 211,600 |
| 2011 | 159,504 | 82,048 | 34,597 | 276,149 |
| 2012 | 179,688 | 93,750 | 39,933 | 313,371 |
| 2013 | 198,855 | 104,375 | 45,887 | 349,117 |
| 2014 | 218,619 | 116,417 | 53,442 | 388,478 |
| 2015 | 233,519 | 124,894 | 58,815 | 417,228 |
| 2016 | 243,903 | 130,484 | 62,988 | 437,375 |
| 2017 | 261,612 | 139,145 | 68,950 | 469,707 |
| 2018 | 271,442 | 149,384 | 80,138 | 500,964 |
| 2019 | 283,694 | 152,623 | 87,789 | 524,106 |
| 2020 | 320,343 | 169,865 | 114,957 | 605,165 |
| 2021 | 336,489 | 202,729 | 119,354 | 658,572 |
| 2022 | 349,396 | 206,375 | 122,914 | 678,685 |
| 2023 | 359,351 | 208,863 | 125,565 | 693,779 |
| 2024 | 360,911 | 207,825 | 124,337 | 693,073 |
| 2025 | 102,869 | 103,732 | 67,525 | 274,126 |
Table and file names
Table names follow the pattern FF-PPP-TTT-NAME, and each file appends the tax year: PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2023.parquet.
- FF is the form:
PF= Form 990-PF;F9marks the two shared header tables. - PPP is the part:
P01= Part I,P02= Part II, and so on.P00is the heading andP99holds attached statements. - TTT is the table:
T00holds the one-to-one fields of the part, andT01,T02, … are its one-to-many tables.
Each table-year is published as CSV (readable anywhere) and Parquet (smaller and much faster in R with arrow or duckdb; panel990 reads Parquet by default). Both files hold the same rows and columns. Table-years with no filings are omitted from the listings below.
Release notes
Changes from efilepf_v2_3 to efilepf_v3_1. Generated by ef2::write_release_notes() on 2026-10-09.
Notes
- New filings. This release adds filings that the Giving Tuesday Data Commons (GTDC) index never listed. The IRS e-file index lists 184,165 such filings (990, 990-EZ and 990-PF; IRS batches 2025_09A, 2025_10A, the second half of 2026_05A, and 2026_08A). Their XML is re-hosted at
https://nccs-efile.s3.us-east-1.amazonaws.com/xml2/v2_3_patch/<OBJECT_ID>_public.xml, withPATCH-INDEX-v2_3-2026-10-07.csvbeside them. The build index combined the GTDC index of 2026-08-25 with that patch, one row per filing. - TY2025 is new: built from the combined index. Many TY2025 returns are not filed yet, so expect it to grow.
- Labels follow concordance990 2.0.1 (commit
02de916). Relabelling moved some xpaths between tables; where the builders already selected those cells by xpath, the published tables are unchanged. - Keys.
OBJECTIDisOID-+ 18 digits, andTABLE_IDis the fixed-widthTID-NNN-NNN-NNN(EF2-17), in every table. - Record.
dev/UPSTREAM-ISSUES.md(EF2-18) in the ef2 repository documents how this release was built and checked. - Also added: 5,298 GTDC-indexed 990-PF filings for TY2016-2019 that the September 2026 PF build missed.
- Header table. The shared
F9-P00-T00-HEADERgainsF9_00_ORG_EXEMPT_TYPE, which is empty for 990-PF filings (it is derived from 990 and 990-EZ paths only). - multi_value variables are still joined with
;in filing order (EF2-13 fix 2); the concordance changed which variables are multi-valued (see below).
Summary
- Tax years: 2009-2025 (previously 2009-2024).
- Tables: 1 added, 2 dropped.
- Table-years in both releases: 1,256; row counts changed in 457, column counts in 32; rows fell in 0.
- Columns: 11 added and 0 removed, across 2 tables.
- Filings: 1,234,785, previously 1,151,314 (+83,471).
- Concordance: 7 xpaths newly mapped, 0 dropped, 26 moved between tables, 0 variables renamed, 6
multi_valuechanges.
Filings by tax year
| Tax year | efilepf_v2_3 | efilepf_v3_1 | Change |
|---|---|---|---|
| 2009 | 2,345 | 2,345 | 0 |
| 2010 | 25,249 | 25,249 | 0 |
| 2011 | 34,597 | 34,597 | 0 |
| 2012 | 39,933 | 39,933 | 0 |
| 2013 | 45,887 | 45,887 | 0 |
| 2014 | 53,442 | 53,442 | 0 |
| 2015 | 58,815 | 58,815 | 0 |
| 2016 | 62,979 | 62,988 | +9 |
| 2017 | 68,260 | 68,950 | +690 |
| 2018 | 75,540 | 80,138 | +4,598 |
| 2019 | 87,788 | 87,789 | +1 |
| 2020 | 114,957 | 114,957 | 0 |
| 2021 | 119,354 | 119,354 | 0 |
| 2022 | 122,819 | 122,914 | +95 |
| 2023 | 124,529 | 125,565 | +1,036 |
| 2024 | 114,820 | 124,337 | +9,517 |
| 2025 | 0 | 67,525 | +67,525 |
By return type:
| Tax year | Return type | efilepf_v2_3 | efilepf_v3_1 | Change |
|---|---|---|---|---|
| 2016 | 990PF | 62,979 | 62,988 | +9 |
| 2017 | 990PF | 68,260 | 68,950 | +690 |
| 2018 | 990PF | 75,540 | 80,138 | +4,598 |
| 2019 | 990PF | 87,788 | 87,789 | +1 |
| 2022 | 990PF | 122,819 | 122,914 | +95 |
| 2023 | 990PF | 124,529 | 125,565 | +1,036 |
| 2024 | 990PF | 114,820 | 124,337 | +9,517 |
| 2025 | 990PF | 0 | 67,525 | +67,525 |
Tables added and dropped
Added:
| Table | Years |
|---|---|
| PF-P09-T00-CHARITABLE-ACTIVITIES | 2009-2025 |
Dropped:
| Table | Years |
|---|---|
| PF-P09-T01-CHARITABLE-ACTIVITIES | 2009-2024 |
| PF-P09-T02-PROG-RELATED-INVESTMENTS | 2009-2024 |
Column changes
Columns added or removed in tables present in both releases, with the tax years affected.
| Table | Change | Column | Years |
|---|---|---|---|
| F9-P00-T00-HEADER | added | F9_00_IRS_SEC_ACTIVE_PREP_TIME |
2020 |
| F9-P00-T00-HEADER | added | F9_00_IRS_SEC_AUTH_REVIEW_TXT |
2020 |
| F9-P00-T00-HEADER | added | F9_00_IRS_SEC_PREP_SUBMIT_TIME |
2020 |
| F9-P00-T00-HEADER | added | F9_00_IRS_SEC_VENDOR_CTRL_NUM |
2020 |
| F9-P00-T00-HEADER | added | F9_00_IRS_TRUST_PAY_DECLINED_CD |
2020 |
| F9-P00-T00-HEADER | added | F9_00_ORG_EXEMPT_TYPE |
2009-2024 |
| PF-P09-T00-PROG-RELATED-INVESTMENTS | added | PF_09_PROG_RLTD_INVEST_AMT_1 |
2009-2024 |
| PF-P09-T00-PROG-RELATED-INVESTMENTS | added | PF_09_PROG_RLTD_INVEST_AMT_2 |
2009-2024 |
| PF-P09-T00-PROG-RELATED-INVESTMENTS | added | PF_09_PROG_RLTD_INVEST_AMT_3 |
2009-2024 |
| PF-P09-T00-PROG-RELATED-INVESTMENTS | added | PF_09_PROG_RLTD_INVEST_DESC_1 |
2009-2024 |
| PF-P09-T00-PROG-RELATED-INVESTMENTS | added | PF_09_PROG_RLTD_INVEST_DESC_2 |
2009-2024 |
Row-count changes
Tables whose row counts changed, summed over the years that changed.
| Table | Years | efilepf_v2_3 | efilepf_v3_1 | Change |
|---|---|---|---|---|
| PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS | 2016-2019, 2022-2024 | 15,833,012 | 16,170,687 | +337,675 |
| PF-P09-T00-PROG-RELATED-INVESTMENTS | 2009-2024 | 455,640 | 678,164 | +222,524 |
| PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID | 2016-2019, 2022-2024 | 9,308,389 | 9,484,858 | +176,469 |
| PF-P99-T24-INVEST-CORP-STOCK | 2016-2018, 2022-2024 | 4,943,725 | 5,090,967 | +147,242 |
| PF-P08-T01-COMPENSATION | 2016-2019, 2022-2024 | 2,115,747 | 2,168,344 | +52,597 |
| PF-P99-T36-EXP-OTH | 2016-2019, 2022-2024 | 1,623,799 | 1,665,882 | +42,083 |
| PF-P99-T27-INVEST-OTH | 2016-2019, 2022-2024 | 2,158,440 | 2,193,989 | +35,549 |
| PF-P99-T23-INVEST-CORP-BOND | 2016-2018, 2022-2024 | 776,858 | 797,899 | +21,041 |
| PF-P99-T49-TAXES | 2016-2019, 2022-2024 | 870,283 | 891,018 | +20,735 |
| PF-P99-T11-DEPREC | 2017-2018, 2022-2024 | 500,014 | 518,498 | +18,484 |
| F9-P00-T00-HEADER | 2016-2019, 2022-2024 | 656,735 | 672,681 | +15,946 |
| F9-P02-T00-SIGNATURE | 2016-2019, 2022-2024 | 656,735 | 672,681 | +15,946 |
| PF-P00-T00-HEADER | 2016-2019, 2022-2024 | 656,735 | 672,681 | +15,946 |
| PF-P01-T00-REVENUE-EXPENSE | 2016-2019, 2022-2024 | 656,735 | 672,681 | +15,946 |
| PF-P02-T00-BALANCE-SHEET | 2016-2019, 2022-2024 | 656,735 | 672,681 | +15,946 |
| PF-P07-T00-ACTIVITIES | 2016-2019, 2022-2024 | 656,733 | 672,679 | +15,946 |
| PF-P12-T00-QUALIFYING-DISTRIBUTIONS | 2016-2019, 2022-2024 | 656,717 | 672,663 | +15,946 |
| PF-P11-T00-DISTRIBUTABLE-AMOUNT | 2016-2019, 2022-2024 | 656,611 | 672,553 | +15,942 |
| PF-P17-T00-RELATIONSHIPS | 2016-2019, 2022-2024 | 652,065 | 667,882 | +15,817 |
| PF-P17-T00-TRANSFERS-TRANSACTIONS | 2016-2019, 2022-2024 | 652,065 | 667,882 | +15,817 |
| PF-P06-T00-INVEST-INCOME-EXCISE-TAX | 2016-2019, 2022-2024 | 652,913 | 668,724 | +15,811 |
| PF-P07-T00-ACTIVITIES-4720 | 2016-2019, 2022-2024 | 648,331 | 664,085 | +15,754 |
| PF-P10-T00-MINIMUM-INVESTMENT-RETURN | 2016-2019, 2022-2024 | 645,951 | 661,527 | +15,576 |
| PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE | 2016-2019, 2022-2024 | 643,067 | 658,566 | +15,499 |
| PF-P13-T00-UNDISTRIBUTED-INCOME | 2016-2019, 2022-2024 | 621,308 | 636,314 | +15,006 |
| PF-P08-T00-COMPENSATION-CONTRACTORS | 2016-2019, 2022-2024 | 590,583 | 604,976 | +14,393 |
| PF-P08-T00-COMPENSATION-HIGHEST | 2016-2019, 2022-2024 | 589,896 | 604,233 | +14,337 |
| PF-P16-T00-INCOME-PRODUCING-ACTS | 2016-2019, 2022-2024 | 579,624 | 593,301 | +13,677 |
| PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID | 2016-2019, 2022-2024 | 571,686 | 585,159 | +13,473 |
| PF-P15-T00-SUPPLEMENTARY-INFO | 2016-2019, 2022-2024 | 524,044 | 536,623 | +12,579 |
| SB-P01-T01-CONTRIBUTORS | 2017-2018, 2022-2024 | 290,068 | 300,441 | +10,373 |
| PF-P99-T01-ACC-FEES | 2016-2019, 2022-2024 | 411,681 | 421,572 | +9,891 |
| PF-P99-T28-LAND-ETC | 2017-2018, 2022-2024 | 274,267 | 283,826 | +9,559 |
| PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS | 2016-2019, 2022-2024 | 396,282 | 405,176 | +8,894 |
| PF-P99-T42-PROF-FEES-OTH | 2016-2019, 2022-2024 | 312,547 | 320,112 | +7,565 |
| PF-P99-T37-INCOME-OTH | 2016-2018, 2022-2024 | 300,593 | 307,807 | +7,214 |
| PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE | 2016-2019, 2022-2024 | 274,739 | 281,412 | +6,673 |
| PF-P99-T35-DECREASE-OTH | 2016-2018, 2022-2024 | 248,940 | 255,387 | +6,447 |
| PF-P99-T33-ASSET-OTH | 2016-2018, 2022-2024 | 184,387 | 190,471 | +6,084 |
| PF-P99-T20-SALE-OTH-ASSET | 2017-2018, 2022-2024 | 213,455 | 219,340 | +5,885 |
| PF-P99-T38-INCREASE-OTH | 2016-2018, 2022-2024 | 194,566 | 200,258 | +5,692 |
| PF-P16-T02-INCOME-PRODUCING-ACTS | 2017-2018, 2022-2024 | 200,837 | 205,921 | +5,084 |
| PF-P05-T00-NET-INVEST-INCOME-TAX-4940E | 2016-2019 | 264,106 | 268,808 | +4,702 |
| SB-P00-T00-HEADER | 2017-2018, 2022-2024 | 131,615 | 135,846 | +4,231 |
| PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE | 2016-2018, 2022-2024 | 138,859 | 142,819 | +3,960 |
| SB-P02-T01-NONCASH-PROPERTY | 2017-2018, 2022-2024 | 111,513 | 115,363 | +3,850 |
| PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP | 2016-2018, 2022-2024 | 144,188 | 148,033 | +3,845 |
| PF-P16-T01-INCOME-PRODUCING-ACTS | 2017-2018, 2022-2024 | 136,404 | 140,126 | +3,722 |
| PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE | 2017-2018, 2022-2024 | 195,180 | 198,511 | +3,331 |
| PF-P99-T29-LEGAL-FEES | 2017-2018, 2022-2024 | 84,874 | 87,524 | +2,650 |
| PF-P99-T39-LIAB-OTH | 2017-2018, 2022-2024 | 70,142 | 72,418 | +2,276 |
| PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS | 2017-2018, 2022-2024 | 53,397 | 55,274 | +1,877 |
| PF-P99-T26-INVEST-LAND | 2017-2018, 2022-2024 | 47,297 | 49,147 | +1,850 |
| PF-P99-T22-SUPPLEMENTAL-INFO | 2016-2018, 2022-2024 | 38,146 | 39,700 | +1,554 |
| PF-P99-T48-CONTRIBUTOR | 2016-2018, 2022-2024 | 61,551 | 63,094 | +1,543 |
| PF-P99-T00-AUXILLIARY | 2016-2018, 2022-2024 | 51,339 | 52,804 | +1,465 |
| PF-P08-T03-COMPENSATION-CONTRACTORS | 2017-2018, 2022-2024 | 40,605 | 41,920 | +1,315 |
| PF-P99-T25-INVEST-GOVT-SEC | 2016-2018, 2022-2024 | 42,200 | 43,357 | +1,157 |
| PF-P99-T16-EXP-RESPONSIBILITY | 2017-2018, 2022-2024 | 59,939 | 61,034 | +1,095 |
| PF-P08-T02-COMPENSATION-HIGHEST | 2017-2018, 2022-2024 | 31,631 | 32,651 | +1,020 |
… and 19 more.
Concordance changes
Xpaths moved between tables:
| From | To | Xpaths |
|---|---|---|
| PF-P09-T01-CHARITABLE-ACTIVITIES | PF-P09-T00-CHARITABLE-ACTIVITIES | 16 |
| PF-P09-T02-PROG-RELATED-INVESTMENTS | PF-P09-T00-PROG-RELATED-INVESTMENTS | 10 |
Newly mapped xpaths, by table:
| Table | Xpaths |
|---|---|
| F9-P00-T00-HEADER | 7 |
Renamed variables:
None.
multi_value changes:
| Variable | From | To |
|---|---|---|
| PF_AX02_ACT_NEW_EXPLANATION | (blank) | TRUE |
| PF_AX44_CAUSE_EXPLANATION | (blank) | TRUE |
| PF_AX45_REDUCT_EXPLANATION | (blank) | TRUE |
Version history
Every release stays on S3 and keeps its catalog page, so earlier analyses can be reproduced. Interim releases were built and posted but not announced as full public releases.
| Release | Returns | Published | Status | Tax years | Tables | Filings | Notes |
|---|---|---|---|---|---|---|---|
efile_v3_1
|
990, 990-EZ | 2026-10-09 | Current | 2009–2025 | 136 | 6,307,836 | Release notes |
efilepf_v3_1 this page
|
990-PF | 2026-10-09 | Current | 2009–2025 | 83 | 1,234,785 | Release notes |
efile_v2_3
|
990, 990-EZ | 2026-10-07 | Interim | 2009–2024 | 136 | 5,981,036 | — |
efilepf_v2_3
|
990-PF | 2026-10-07 | Interim | 2009–2024 | 84 | 1,151,314 | — |
efile_v2_2
|
990, 990-EZ | 2026-08-11 | Interim | 2009–2024 | 112 | 5,675,704 | — |
efile_v2_1
|
990, 990-EZ | 2025-10-28 | Archived | 2009–2024 | 112 | 5,675,704 | — |
efile_v2_0
|
990, 990-EZ | 2025-03-22 | Archived | 2009–2023 | 111 | 5,159,432 | — |
efile_v1
|
990, 990-EZ | 2023-03-21 | Archived | — | — | — | — |
Available tables
Each table lists its files by tax year. The code below each table uses panelize() from panel990 to download a multi-year panel of the table with BMF organization fields (NTEE codes, geography, subsection) attached.
Anchor your code to a release. panelize() reads the current release (efile_version()) unless told otherwise, so the same code returns different data after the next release. For reproducible results, name the release explicitly:
panel <-
panelize( tables = "PF-P01-T00-REVENUE-EXPENSE",
years = 2020:2024,
source = data_source( version = "v3_1", form = "990PF" ),
bmf = TRUE )BMF fields come from the current NCCS master BMF. To fix those as well, save the BMF once and pass the data frame or file path to bmf =.
Shared tables (every e-filed return)
P00 Heading (items A-O)
F9-P00-T00-HEADER
1:1 one row per filing · tax years 2009–2025 · 1,234,785 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
F9-P00-T00-HEADER-2025
|
CSV | Parquet | 67,525 |
| 2024 |
F9-P00-T00-HEADER-2024
|
CSV | Parquet | 124,337 |
| 2023 |
F9-P00-T00-HEADER-2023
|
CSV | Parquet | 125,565 |
| 2022 |
F9-P00-T00-HEADER-2022
|
CSV | Parquet | 122,914 |
| 2021 |
F9-P00-T00-HEADER-2021
|
CSV | Parquet | 119,354 |
| 2020 |
F9-P00-T00-HEADER-2020
|
CSV | Parquet | 114,957 |
| 2019 |
F9-P00-T00-HEADER-2019
|
CSV | Parquet | 87,789 |
| 2018 |
F9-P00-T00-HEADER-2018
|
CSV | Parquet | 80,138 |
| 2017 |
F9-P00-T00-HEADER-2017
|
CSV | Parquet | 68,950 |
| 2016 |
F9-P00-T00-HEADER-2016
|
CSV | Parquet | 62,988 |
| 2015 |
F9-P00-T00-HEADER-2015
|
CSV | Parquet | 58,815 |
| 2014 |
F9-P00-T00-HEADER-2014
|
CSV | Parquet | 53,442 |
| 2013 |
F9-P00-T00-HEADER-2013
|
CSV | Parquet | 45,887 |
| 2012 |
F9-P00-T00-HEADER-2012
|
CSV | Parquet | 39,933 |
| 2011 |
F9-P00-T00-HEADER-2011
|
CSV | Parquet | 34,597 |
| 2010 |
F9-P00-T00-HEADER-2010
|
CSV | Parquet | 25,249 |
| 2009 |
F9-P00-T00-HEADER-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "F9-P00-T00-HEADER",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P02 Part II - Signature Block
F9-P02-T00-SIGNATURE
1:1 one row per filing · tax years 2009–2025 · 1,234,785 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
F9-P02-T00-SIGNATURE-2025
|
CSV | Parquet | 67,525 |
| 2024 |
F9-P02-T00-SIGNATURE-2024
|
CSV | Parquet | 124,337 |
| 2023 |
F9-P02-T00-SIGNATURE-2023
|
CSV | Parquet | 125,565 |
| 2022 |
F9-P02-T00-SIGNATURE-2022
|
CSV | Parquet | 122,914 |
| 2021 |
F9-P02-T00-SIGNATURE-2021
|
CSV | Parquet | 119,354 |
| 2020 |
F9-P02-T00-SIGNATURE-2020
|
CSV | Parquet | 114,957 |
| 2019 |
F9-P02-T00-SIGNATURE-2019
|
CSV | Parquet | 87,789 |
| 2018 |
F9-P02-T00-SIGNATURE-2018
|
CSV | Parquet | 80,138 |
| 2017 |
F9-P02-T00-SIGNATURE-2017
|
CSV | Parquet | 68,950 |
| 2016 |
F9-P02-T00-SIGNATURE-2016
|
CSV | Parquet | 62,988 |
| 2015 |
F9-P02-T00-SIGNATURE-2015
|
CSV | Parquet | 58,815 |
| 2014 |
F9-P02-T00-SIGNATURE-2014
|
CSV | Parquet | 53,442 |
| 2013 |
F9-P02-T00-SIGNATURE-2013
|
CSV | Parquet | 45,887 |
| 2012 |
F9-P02-T00-SIGNATURE-2012
|
CSV | Parquet | 39,933 |
| 2011 |
F9-P02-T00-SIGNATURE-2011
|
CSV | Parquet | 34,597 |
| 2010 |
F9-P02-T00-SIGNATURE-2010
|
CSV | Parquet | 25,249 |
| 2009 |
F9-P02-T00-SIGNATURE-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "F9-P02-T00-SIGNATURE",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
Schedule B: Schedule of Contributors
P00 Heading - Organization Type and Filing Rules
SB-P00-T00-HEADER
1:1 one row per filing · tax years 2009–2025 · 324,714 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
SB-P00-T00-HEADER-2025
|
CSV | Parquet | 15,891 |
| 2024 |
SB-P00-T00-HEADER-2024
|
CSV | Parquet | 32,322 |
| 2023 |
SB-P00-T00-HEADER-2023
|
CSV | Parquet | 31,947 |
| 2022 |
SB-P00-T00-HEADER-2022
|
CSV | Parquet | 31,247 |
| 2021 |
SB-P00-T00-HEADER-2021
|
CSV | Parquet | 32,035 |
| 2020 |
SB-P00-T00-HEADER-2020
|
CSV | Parquet | 29,219 |
| 2019 |
SB-P00-T00-HEADER-2019
|
CSV | Parquet | 22,642 |
| 2018 |
SB-P00-T00-HEADER-2018
|
CSV | Parquet | 20,751 |
| 2017 |
SB-P00-T00-HEADER-2017
|
CSV | Parquet | 19,579 |
| 2016 |
SB-P00-T00-HEADER-2016
|
CSV | Parquet | 17,917 |
| 2015 |
SB-P00-T00-HEADER-2015
|
CSV | Parquet | 16,412 |
| 2014 |
SB-P00-T00-HEADER-2014
|
CSV | Parquet | 14,795 |
| 2013 |
SB-P00-T00-HEADER-2013
|
CSV | Parquet | 12,640 |
| 2012 |
SB-P00-T00-HEADER-2012
|
CSV | Parquet | 11,176 |
| 2011 |
SB-P00-T00-HEADER-2011
|
CSV | Parquet | 8,941 |
| 2010 |
SB-P00-T00-HEADER-2010
|
CSV | Parquet | 6,620 |
| 2009 |
SB-P00-T00-HEADER-2009
|
CSV | Parquet | 580 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "SB-P00-T00-HEADER",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P01 Part I - Contributors
SB-P01-T01-CONTRIBUTORS
1:M many rows per filing · tax years 2009–2025 · 690,552 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
SB-P01-T01-CONTRIBUTORS-2025
|
CSV | Parquet | 29,136 |
| 2024 |
SB-P01-T01-CONTRIBUTORS-2024
|
CSV | Parquet | 74,131 |
| 2023 |
SB-P01-T01-CONTRIBUTORS-2023
|
CSV | Parquet | 73,477 |
| 2022 |
SB-P01-T01-CONTRIBUTORS-2022
|
CSV | Parquet | 70,168 |
| 2021 |
SB-P01-T01-CONTRIBUTORS-2021
|
CSV | Parquet | 70,850 |
| 2020 |
SB-P01-T01-CONTRIBUTORS-2020
|
CSV | Parquet | 61,894 |
| 2019 |
SB-P01-T01-CONTRIBUTORS-2019
|
CSV | Parquet | 48,270 |
| 2018 |
SB-P01-T01-CONTRIBUTORS-2018
|
CSV | Parquet | 42,215 |
| 2017 |
SB-P01-T01-CONTRIBUTORS-2017
|
CSV | Parquet | 40,450 |
| 2016 |
SB-P01-T01-CONTRIBUTORS-2016
|
CSV | Parquet | 35,875 |
| 2015 |
SB-P01-T01-CONTRIBUTORS-2015
|
CSV | Parquet | 32,649 |
| 2014 |
SB-P01-T01-CONTRIBUTORS-2014
|
CSV | Parquet | 30,990 |
| 2013 |
SB-P01-T01-CONTRIBUTORS-2013
|
CSV | Parquet | 25,225 |
| 2012 |
SB-P01-T01-CONTRIBUTORS-2012
|
CSV | Parquet | 22,586 |
| 2011 |
SB-P01-T01-CONTRIBUTORS-2011
|
CSV | Parquet | 18,287 |
| 2010 |
SB-P01-T01-CONTRIBUTORS-2010
|
CSV | Parquet | 12,895 |
| 2009 |
SB-P01-T01-CONTRIBUTORS-2009
|
CSV | Parquet | 1,454 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "SB-P01-T01-CONTRIBUTORS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
P02 Part II - Noncash Property
SB-P02-T01-NONCASH-PROPERTY
1:M many rows per filing · tax years 2009–2025 · 265,800 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
SB-P02-T01-NONCASH-PROPERTY-2025
|
CSV | Parquet | 13,949 |
| 2024 |
SB-P02-T01-NONCASH-PROPERTY-2024
|
CSV | Parquet | 29,610 |
| 2023 |
SB-P02-T01-NONCASH-PROPERTY-2023
|
CSV | Parquet | 30,185 |
| 2022 |
SB-P02-T01-NONCASH-PROPERTY-2022
|
CSV | Parquet | 26,131 |
| 2021 |
SB-P02-T01-NONCASH-PROPERTY-2021
|
CSV | Parquet | 34,872 |
| 2020 |
SB-P02-T01-NONCASH-PROPERTY-2020
|
CSV | Parquet | 24,978 |
| 2019 |
SB-P02-T01-NONCASH-PROPERTY-2019
|
CSV | Parquet | 20,376 |
| 2018 |
SB-P02-T01-NONCASH-PROPERTY-2018
|
CSV | Parquet | 14,555 |
| 2017 |
SB-P02-T01-NONCASH-PROPERTY-2017
|
CSV | Parquet | 14,882 |
| 2016 |
SB-P02-T01-NONCASH-PROPERTY-2016
|
CSV | Parquet | 12,648 |
| 2015 |
SB-P02-T01-NONCASH-PROPERTY-2015
|
CSV | Parquet | 10,180 |
| 2014 |
SB-P02-T01-NONCASH-PROPERTY-2014
|
CSV | Parquet | 10,073 |
| 2013 |
SB-P02-T01-NONCASH-PROPERTY-2013
|
CSV | Parquet | 7,178 |
| 2012 |
SB-P02-T01-NONCASH-PROPERTY-2012
|
CSV | Parquet | 7,281 |
| 2011 |
SB-P02-T01-NONCASH-PROPERTY-2011
|
CSV | Parquet | 5,541 |
| 2010 |
SB-P02-T01-NONCASH-PROPERTY-2010
|
CSV | Parquet | 3,116 |
| 2009 |
SB-P02-T01-NONCASH-PROPERTY-2009
|
CSV | Parquet | 245 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "SB-P02-T01-NONCASH-PROPERTY",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
P03 Part III - Exclusively Religious, Charitable, etc., Contributions to Organizations Described in Section 501(c)(7), (8), or (10)
SB-P03-T01-EXCLUSIVELY-RELIGIOUS
1:M many rows per filing · tax years 2009–2025 · 1,491 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2025
|
CSV | Parquet | 111 |
| 2024 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2024
|
CSV | Parquet | 179 |
| 2023 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2023
|
CSV | Parquet | 209 |
| 2022 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2022
|
CSV | Parquet | 148 |
| 2021 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2021
|
CSV | Parquet | 162 |
| 2020 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2020
|
CSV | Parquet | 135 |
| 2019 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2019
|
CSV | Parquet | 70 |
| 2018 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2018
|
CSV | Parquet | 102 |
| 2017 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2017
|
CSV | Parquet | 58 |
| 2016 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2016
|
CSV | Parquet | 41 |
| 2015 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2015
|
CSV | Parquet | 70 |
| 2014 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2014
|
CSV | Parquet | 52 |
| 2013 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2013
|
CSV | Parquet | 61 |
| 2012 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2012
|
CSV | Parquet | 58 |
| 2011 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2011
|
CSV | Parquet | 26 |
| 2010 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2010
|
CSV | Parquet | 7 |
| 2009 |
SB-P03-T01-EXCLUSIVELY-RELIGIOUS-2009
|
CSV | Parquet | 2 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "SB-P03-T01-EXCLUSIVELY-RELIGIOUS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
SB-P03-T00-EXCLUSIVELY-RELIGIOUS
1:1 one row per filing · tax years 2009–2025 · 142 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2025
|
CSV | Parquet | 9 |
| 2024 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2024
|
CSV | Parquet | 7 |
| 2023 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2023
|
CSV | Parquet | 8 |
| 2022 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2022
|
CSV | Parquet | 8 |
| 2021 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2021
|
CSV | Parquet | 12 |
| 2020 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2020
|
CSV | Parquet | 8 |
| 2019 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2019
|
CSV | Parquet | 8 |
| 2018 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2018
|
CSV | Parquet | 9 |
| 2017 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2017
|
CSV | Parquet | 1 |
| 2016 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2016
|
CSV | Parquet | 4 |
| 2015 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2015
|
CSV | Parquet | 4 |
| 2013 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2013
|
CSV | Parquet | 2 |
| 2012 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2012
|
CSV | Parquet | 3 |
| 2011 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2011
|
CSV | Parquet | 32 |
| 2010 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2010
|
CSV | Parquet | 25 |
| 2009 |
SB-P03-T00-EXCLUSIVELY-RELIGIOUS-2009
|
CSV | Parquet | 2 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "SB-P03-T00-EXCLUSIVELY-RELIGIOUS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
Form 990-PF: Return of Private Foundation
P00 Heading (items A-J)
PF-P00-T00-HEADER
1:1 one row per filing · tax years 2009–2025 · 1,234,785 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P00-T00-HEADER-2025
|
CSV | Parquet | 67,525 |
| 2024 |
PF-P00-T00-HEADER-2024
|
CSV | Parquet | 124,337 |
| 2023 |
PF-P00-T00-HEADER-2023
|
CSV | Parquet | 125,565 |
| 2022 |
PF-P00-T00-HEADER-2022
|
CSV | Parquet | 122,914 |
| 2021 |
PF-P00-T00-HEADER-2021
|
CSV | Parquet | 119,354 |
| 2020 |
PF-P00-T00-HEADER-2020
|
CSV | Parquet | 114,957 |
| 2019 |
PF-P00-T00-HEADER-2019
|
CSV | Parquet | 87,789 |
| 2018 |
PF-P00-T00-HEADER-2018
|
CSV | Parquet | 80,138 |
| 2017 |
PF-P00-T00-HEADER-2017
|
CSV | Parquet | 68,950 |
| 2016 |
PF-P00-T00-HEADER-2016
|
CSV | Parquet | 62,988 |
| 2015 |
PF-P00-T00-HEADER-2015
|
CSV | Parquet | 58,815 |
| 2014 |
PF-P00-T00-HEADER-2014
|
CSV | Parquet | 53,442 |
| 2013 |
PF-P00-T00-HEADER-2013
|
CSV | Parquet | 45,887 |
| 2012 |
PF-P00-T00-HEADER-2012
|
CSV | Parquet | 39,933 |
| 2011 |
PF-P00-T00-HEADER-2011
|
CSV | Parquet | 34,597 |
| 2010 |
PF-P00-T00-HEADER-2010
|
CSV | Parquet | 25,249 |
| 2009 |
PF-P00-T00-HEADER-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P00-T00-HEADER",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P01 Part I - Analysis of Revenue and Expenses
PF-P01-T00-REVENUE-EXPENSE
1:1 one row per filing · tax years 2009–2025 · 1,234,785 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P01-T00-REVENUE-EXPENSE-2025
|
CSV | Parquet | 67,525 |
| 2024 |
PF-P01-T00-REVENUE-EXPENSE-2024
|
CSV | Parquet | 124,337 |
| 2023 |
PF-P01-T00-REVENUE-EXPENSE-2023
|
CSV | Parquet | 125,565 |
| 2022 |
PF-P01-T00-REVENUE-EXPENSE-2022
|
CSV | Parquet | 122,914 |
| 2021 |
PF-P01-T00-REVENUE-EXPENSE-2021
|
CSV | Parquet | 119,354 |
| 2020 |
PF-P01-T00-REVENUE-EXPENSE-2020
|
CSV | Parquet | 114,957 |
| 2019 |
PF-P01-T00-REVENUE-EXPENSE-2019
|
CSV | Parquet | 87,789 |
| 2018 |
PF-P01-T00-REVENUE-EXPENSE-2018
|
CSV | Parquet | 80,138 |
| 2017 |
PF-P01-T00-REVENUE-EXPENSE-2017
|
CSV | Parquet | 68,950 |
| 2016 |
PF-P01-T00-REVENUE-EXPENSE-2016
|
CSV | Parquet | 62,988 |
| 2015 |
PF-P01-T00-REVENUE-EXPENSE-2015
|
CSV | Parquet | 58,815 |
| 2014 |
PF-P01-T00-REVENUE-EXPENSE-2014
|
CSV | Parquet | 53,442 |
| 2013 |
PF-P01-T00-REVENUE-EXPENSE-2013
|
CSV | Parquet | 45,887 |
| 2012 |
PF-P01-T00-REVENUE-EXPENSE-2012
|
CSV | Parquet | 39,933 |
| 2011 |
PF-P01-T00-REVENUE-EXPENSE-2011
|
CSV | Parquet | 34,597 |
| 2010 |
PF-P01-T00-REVENUE-EXPENSE-2010
|
CSV | Parquet | 25,249 |
| 2009 |
PF-P01-T00-REVENUE-EXPENSE-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P01-T00-REVENUE-EXPENSE",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P02 Part II - Balance Sheets
PF-P02-T00-BALANCE-SHEET
1:1 one row per filing · tax years 2009–2025 · 1,234,785 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P02-T00-BALANCE-SHEET-2025
|
CSV | Parquet | 67,525 |
| 2024 |
PF-P02-T00-BALANCE-SHEET-2024
|
CSV | Parquet | 124,337 |
| 2023 |
PF-P02-T00-BALANCE-SHEET-2023
|
CSV | Parquet | 125,565 |
| 2022 |
PF-P02-T00-BALANCE-SHEET-2022
|
CSV | Parquet | 122,914 |
| 2021 |
PF-P02-T00-BALANCE-SHEET-2021
|
CSV | Parquet | 119,354 |
| 2020 |
PF-P02-T00-BALANCE-SHEET-2020
|
CSV | Parquet | 114,957 |
| 2019 |
PF-P02-T00-BALANCE-SHEET-2019
|
CSV | Parquet | 87,789 |
| 2018 |
PF-P02-T00-BALANCE-SHEET-2018
|
CSV | Parquet | 80,138 |
| 2017 |
PF-P02-T00-BALANCE-SHEET-2017
|
CSV | Parquet | 68,950 |
| 2016 |
PF-P02-T00-BALANCE-SHEET-2016
|
CSV | Parquet | 62,988 |
| 2015 |
PF-P02-T00-BALANCE-SHEET-2015
|
CSV | Parquet | 58,815 |
| 2014 |
PF-P02-T00-BALANCE-SHEET-2014
|
CSV | Parquet | 53,442 |
| 2013 |
PF-P02-T00-BALANCE-SHEET-2013
|
CSV | Parquet | 45,887 |
| 2012 |
PF-P02-T00-BALANCE-SHEET-2012
|
CSV | Parquet | 39,933 |
| 2011 |
PF-P02-T00-BALANCE-SHEET-2011
|
CSV | Parquet | 34,597 |
| 2010 |
PF-P02-T00-BALANCE-SHEET-2010
|
CSV | Parquet | 25,249 |
| 2009 |
PF-P02-T00-BALANCE-SHEET-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P02-T00-BALANCE-SHEET",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P03 Part III - Analysis of Changes in Net Assets or Fund Balances
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE
1:1 one row per filing · tax years 2009–2025 · 1,210,594 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2025
|
CSV | Parquet | 65,910 |
| 2024 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2024
|
CSV | Parquet | 121,337 |
| 2023 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2023
|
CSV | Parquet | 122,449 |
| 2022 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2022
|
CSV | Parquet | 120,011 |
| 2021 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2021
|
CSV | Parquet | 116,777 |
| 2020 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2020
|
CSV | Parquet | 112,779 |
| 2019 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2019
|
CSV | Parquet | 86,259 |
| 2018 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2018
|
CSV | Parquet | 78,728 |
| 2017 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2017
|
CSV | Parquet | 67,827 |
| 2016 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2016
|
CSV | Parquet | 61,955 |
| 2015 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2015
|
CSV | Parquet | 57,896 |
| 2014 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2014
|
CSV | Parquet | 52,668 |
| 2013 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2013
|
CSV | Parquet | 45,257 |
| 2012 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2012
|
CSV | Parquet | 39,379 |
| 2011 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2011
|
CSV | Parquet | 34,116 |
| 2010 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2010
|
CSV | Parquet | 24,929 |
| 2009 |
PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE-2009
|
CSV | Parquet | 2,317 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P03-T00-NET-ASSET-FUND-BALANCE-CHANGE",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P04 Part IV - Capital Gains and Losses for Tax on Investment Income
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS
1:1 one row per filing · tax years 2009–2025 · 747,432 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2025
|
CSV | Parquet | 41,241 |
| 2024 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2024
|
CSV | Parquet | 73,930 |
| 2023 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2023
|
CSV | Parquet | 73,805 |
| 2022 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2022
|
CSV | Parquet | 73,044 |
| 2021 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2021
|
CSV | Parquet | 73,837 |
| 2020 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2020
|
CSV | Parquet | 71,991 |
| 2019 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2019
|
CSV | Parquet | 55,284 |
| 2018 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2018
|
CSV | Parquet | 49,576 |
| 2017 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2017
|
CSV | Parquet | 41,713 |
| 2016 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2016
|
CSV | Parquet | 37,824 |
| 2015 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2015
|
CSV | Parquet | 35,575 |
| 2014 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2014
|
CSV | Parquet | 32,621 |
| 2013 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2013
|
CSV | Parquet | 27,552 |
| 2012 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2012
|
CSV | Parquet | 23,247 |
| 2011 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2011
|
CSV | Parquet | 20,381 |
| 2010 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2010
|
CSV | Parquet | 14,479 |
| 2009 |
PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2009
|
CSV | Parquet | 1,332 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P04-T00-INVEST-INCOME-TAX-CAPITAL-GAINLOSS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS
1:M many rows per filing · tax years 2009–2025 · 29,342,711 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2025
|
CSV | Parquet | 2,312,334 |
| 2024 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2024
|
CSV | Parquet | 3,684,296 |
| 2023 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2023
|
CSV | Parquet | 3,636,605 |
| 2022 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2022
|
CSV | Parquet | 4,121,828 |
| 2021 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2021
|
CSV | Parquet | 3,796,237 |
| 2020 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2020
|
CSV | Parquet | 4,116,608 |
| 2019 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2019
|
CSV | Parquet | 1,721,239 |
| 2018 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2018
|
CSV | Parquet | 1,361,608 |
| 2017 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2017
|
CSV | Parquet | 855,227 |
| 2016 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2016
|
CSV | Parquet | 789,884 |
| 2015 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2015
|
CSV | Parquet | 697,521 |
| 2014 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2014
|
CSV | Parquet | 625,829 |
| 2013 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2013
|
CSV | Parquet | 467,081 |
| 2012 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2012
|
CSV | Parquet | 420,578 |
| 2011 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2011
|
CSV | Parquet | 418,115 |
| 2010 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2010
|
CSV | Parquet | 289,586 |
| 2009 |
PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS-2009
|
CSV | Parquet | 28,135 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P04-T01-INVEST-INCOME-TAX-CAPITAL-GAINLOSS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
P05 Part V - Qualification Under Section 4940(e) for Reduced Tax on Net Investment Income (removed after 2019)
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E
1:1 one row per filing · tax years 2009–2019 · 502,793 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2019 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2019
|
CSV | Parquet | 78,736 |
| 2018 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2018
|
CSV | Parquet | 71,949 |
| 2017 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2017
|
CSV | Parquet | 61,784 |
| 2016 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2016
|
CSV | Parquet | 56,339 |
| 2015 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2015
|
CSV | Parquet | 52,602 |
| 2014 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2014
|
CSV | Parquet | 47,907 |
| 2013 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2013
|
CSV | Parquet | 41,241 |
| 2012 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2012
|
CSV | Parquet | 35,968 |
| 2011 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2011
|
CSV | Parquet | 31,196 |
| 2010 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2010
|
CSV | Parquet | 22,919 |
| 2009 |
PF-P05-T00-NET-INVEST-INCOME-TAX-4940E-2009
|
CSV | Parquet | 2,152 |
Download with panel990
library( panel990 )
# Panel of tax years 2015-2019
# with BMF fields appended
panel <-
panelize( tables = "PF-P05-T00-NET-INVEST-INCOME-TAX-4940E",
years = 2015:2019,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P06 Part VI - Excise Tax Based on Investment Income (2023: Part V)
PF-P06-T00-INVEST-INCOME-EXCISE-TAX
1:1 one row per filing · tax years 2009–2025 · 1,228,411 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2025
|
CSV | Parquet | 66,904 |
| 2024 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2024
|
CSV | Parquet | 123,083 |
| 2023 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2023
|
CSV | Parquet | 124,200 |
| 2022 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2022
|
CSV | Parquet | 121,576 |
| 2021 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2021
|
CSV | Parquet | 117,641 |
| 2020 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2020
|
CSV | Parquet | 114,874 |
| 2019 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2019
|
CSV | Parquet | 87,789 |
| 2018 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2018
|
CSV | Parquet | 80,138 |
| 2017 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2017
|
CSV | Parquet | 68,950 |
| 2016 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2016
|
CSV | Parquet | 62,988 |
| 2015 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2015
|
CSV | Parquet | 58,815 |
| 2014 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2014
|
CSV | Parquet | 53,442 |
| 2013 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2013
|
CSV | Parquet | 45,887 |
| 2012 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2012
|
CSV | Parquet | 39,933 |
| 2011 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2011
|
CSV | Parquet | 34,597 |
| 2010 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2010
|
CSV | Parquet | 25,249 |
| 2009 |
PF-P06-T00-INVEST-INCOME-EXCISE-TAX-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P06-T00-INVEST-INCOME-EXCISE-TAX",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P07 Part VII-A - Statements Regarding Activities; Part VII-B - Activities for Which Form 4720 May Be Required (2023: Part VI-A, VI-B)
PF-P07-T00-ACTIVITIES
1:1 one row per filing · tax years 2009–2025 · 1,234,783 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P07-T00-ACTIVITIES-2025
|
CSV | Parquet | 67,525 |
| 2024 |
PF-P07-T00-ACTIVITIES-2024
|
CSV | Parquet | 124,337 |
| 2023 |
PF-P07-T00-ACTIVITIES-2023
|
CSV | Parquet | 125,564 |
| 2022 |
PF-P07-T00-ACTIVITIES-2022
|
CSV | Parquet | 122,913 |
| 2021 |
PF-P07-T00-ACTIVITIES-2021
|
CSV | Parquet | 119,354 |
| 2020 |
PF-P07-T00-ACTIVITIES-2020
|
CSV | Parquet | 114,957 |
| 2019 |
PF-P07-T00-ACTIVITIES-2019
|
CSV | Parquet | 87,789 |
| 2018 |
PF-P07-T00-ACTIVITIES-2018
|
CSV | Parquet | 80,138 |
| 2017 |
PF-P07-T00-ACTIVITIES-2017
|
CSV | Parquet | 68,950 |
| 2016 |
PF-P07-T00-ACTIVITIES-2016
|
CSV | Parquet | 62,988 |
| 2015 |
PF-P07-T00-ACTIVITIES-2015
|
CSV | Parquet | 58,815 |
| 2014 |
PF-P07-T00-ACTIVITIES-2014
|
CSV | Parquet | 53,442 |
| 2013 |
PF-P07-T00-ACTIVITIES-2013
|
CSV | Parquet | 45,887 |
| 2012 |
PF-P07-T00-ACTIVITIES-2012
|
CSV | Parquet | 39,933 |
| 2011 |
PF-P07-T00-ACTIVITIES-2011
|
CSV | Parquet | 34,597 |
| 2010 |
PF-P07-T00-ACTIVITIES-2010
|
CSV | Parquet | 25,249 |
| 2009 |
PF-P07-T00-ACTIVITIES-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P07-T00-ACTIVITIES",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P07-T00-ACTIVITIES-4720
1:1 one row per filing · tax years 2009–2025 · 1,221,124 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P07-T00-ACTIVITIES-4720-2025
|
CSV | Parquet | 67,334 |
| 2024 |
PF-P07-T00-ACTIVITIES-4720-2024
|
CSV | Parquet | 123,862 |
| 2023 |
PF-P07-T00-ACTIVITIES-4720-2023
|
CSV | Parquet | 123,535 |
| 2022 |
PF-P07-T00-ACTIVITIES-4720-2022
|
CSV | Parquet | 121,199 |
| 2021 |
PF-P07-T00-ACTIVITIES-4720-2021
|
CSV | Parquet | 117,865 |
| 2020 |
PF-P07-T00-ACTIVITIES-4720-2020
|
CSV | Parquet | 113,431 |
| 2019 |
PF-P07-T00-ACTIVITIES-4720-2019
|
CSV | Parquet | 86,544 |
| 2018 |
PF-P07-T00-ACTIVITIES-4720-2018
|
CSV | Parquet | 78,922 |
| 2017 |
PF-P07-T00-ACTIVITIES-4720-2017
|
CSV | Parquet | 67,796 |
| 2016 |
PF-P07-T00-ACTIVITIES-4720-2016
|
CSV | Parquet | 62,227 |
| 2015 |
PF-P07-T00-ACTIVITIES-4720-2015
|
CSV | Parquet | 58,259 |
| 2014 |
PF-P07-T00-ACTIVITIES-4720-2014
|
CSV | Parquet | 53,000 |
| 2013 |
PF-P07-T00-ACTIVITIES-4720-2013
|
CSV | Parquet | 45,588 |
| 2012 |
PF-P07-T00-ACTIVITIES-4720-2012
|
CSV | Parquet | 39,688 |
| 2011 |
PF-P07-T00-ACTIVITIES-4720-2011
|
CSV | Parquet | 34,348 |
| 2010 |
PF-P07-T00-ACTIVITIES-4720-2010
|
CSV | Parquet | 25,184 |
| 2009 |
PF-P07-T00-ACTIVITIES-4720-2009
|
CSV | Parquet | 2,342 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P07-T00-ACTIVITIES-4720",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P08 Part VIII - Information About Officers, Directors, Trustees, Foundation Managers, Highly Paid Employees, and Contractors (2023: Part VII)
PF-P08-T00-COMPENSATION-CONTRACTORS
1:1 one row per filing · tax years 2009–2025 · 1,107,842 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2025
|
CSV | Parquet | 61,506 |
| 2024 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2024
|
CSV | Parquet | 114,205 |
| 2023 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2023
|
CSV | Parquet | 110,939 |
| 2022 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2022
|
CSV | Parquet | 109,182 |
| 2021 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2021
|
CSV | Parquet | 105,038 |
| 2020 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2020
|
CSV | Parquet | 102,549 |
| 2019 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2019
|
CSV | Parquet | 79,310 |
| 2018 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2018
|
CSV | Parquet | 72,518 |
| 2017 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2017
|
CSV | Parquet | 62,205 |
| 2016 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2016
|
CSV | Parquet | 56,617 |
| 2015 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2015
|
CSV | Parquet | 53,029 |
| 2014 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2014
|
CSV | Parquet | 48,112 |
| 2013 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2013
|
CSV | Parquet | 41,306 |
| 2012 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2012
|
CSV | Parquet | 35,046 |
| 2011 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2011
|
CSV | Parquet | 31,326 |
| 2010 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2010
|
CSV | Parquet | 22,787 |
| 2009 |
PF-P08-T00-COMPENSATION-CONTRACTORS-2009
|
CSV | Parquet | 2,167 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P08-T00-COMPENSATION-CONTRACTORS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P08-T00-COMPENSATION-HIGHEST
1:1 one row per filing · tax years 2009–2025 · 1,109,293 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P08-T00-COMPENSATION-HIGHEST-2025
|
CSV | Parquet | 61,533 |
| 2024 |
PF-P08-T00-COMPENSATION-HIGHEST-2024
|
CSV | Parquet | 113,739 |
| 2023 |
PF-P08-T00-COMPENSATION-HIGHEST-2023
|
CSV | Parquet | 110,680 |
| 2022 |
PF-P08-T00-COMPENSATION-HIGHEST-2022
|
CSV | Parquet | 109,236 |
| 2021 |
PF-P08-T00-COMPENSATION-HIGHEST-2021
|
CSV | Parquet | 104,988 |
| 2020 |
PF-P08-T00-COMPENSATION-HIGHEST-2020
|
CSV | Parquet | 102,421 |
| 2019 |
PF-P08-T00-COMPENSATION-HIGHEST-2019
|
CSV | Parquet | 79,243 |
| 2018 |
PF-P08-T00-COMPENSATION-HIGHEST-2018
|
CSV | Parquet | 72,494 |
| 2017 |
PF-P08-T00-COMPENSATION-HIGHEST-2017
|
CSV | Parquet | 62,196 |
| 2016 |
PF-P08-T00-COMPENSATION-HIGHEST-2016
|
CSV | Parquet | 56,645 |
| 2015 |
PF-P08-T00-COMPENSATION-HIGHEST-2015
|
CSV | Parquet | 53,142 |
| 2014 |
PF-P08-T00-COMPENSATION-HIGHEST-2014
|
CSV | Parquet | 48,255 |
| 2013 |
PF-P08-T00-COMPENSATION-HIGHEST-2013
|
CSV | Parquet | 41,450 |
| 2012 |
PF-P08-T00-COMPENSATION-HIGHEST-2012
|
CSV | Parquet | 36,074 |
| 2011 |
PF-P08-T00-COMPENSATION-HIGHEST-2011
|
CSV | Parquet | 31,783 |
| 2010 |
PF-P08-T00-COMPENSATION-HIGHEST-2010
|
CSV | Parquet | 23,248 |
| 2009 |
PF-P08-T00-COMPENSATION-HIGHEST-2009
|
CSV | Parquet | 2,166 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P08-T00-COMPENSATION-HIGHEST",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P08-T01-COMPENSATION
1:M many rows per filing · tax years 2009–2025 · 3,981,135 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P08-T01-COMPENSATION-2025
|
CSV | Parquet | 197,150 |
| 2024 |
PF-P08-T01-COMPENSATION-2024
|
CSV | Parquet | 400,691 |
| 2023 |
PF-P08-T01-COMPENSATION-2023
|
CSV | Parquet | 403,853 |
| 2022 |
PF-P08-T01-COMPENSATION-2022
|
CSV | Parquet | 395,909 |
| 2021 |
PF-P08-T01-COMPENSATION-2021
|
CSV | Parquet | 384,572 |
| 2020 |
PF-P08-T01-COMPENSATION-2020
|
CSV | Parquet | 370,946 |
| 2019 |
PF-P08-T01-COMPENSATION-2019
|
CSV | Parquet | 280,149 |
| 2018 |
PF-P08-T01-COMPENSATION-2018
|
CSV | Parquet | 253,993 |
| 2017 |
PF-P08-T01-COMPENSATION-2017
|
CSV | Parquet | 225,919 |
| 2016 |
PF-P08-T01-COMPENSATION-2016
|
CSV | Parquet | 207,830 |
| 2015 |
PF-P08-T01-COMPENSATION-2015
|
CSV | Parquet | 194,046 |
| 2014 |
PF-P08-T01-COMPENSATION-2014
|
CSV | Parquet | 175,819 |
| 2013 |
PF-P08-T01-COMPENSATION-2013
|
CSV | Parquet | 153,025 |
| 2012 |
PF-P08-T01-COMPENSATION-2012
|
CSV | Parquet | 133,519 |
| 2011 |
PF-P08-T01-COMPENSATION-2011
|
CSV | Parquet | 112,718 |
| 2010 |
PF-P08-T01-COMPENSATION-2010
|
CSV | Parquet | 82,055 |
| 2009 |
PF-P08-T01-COMPENSATION-2009
|
CSV | Parquet | 8,941 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P08-T01-COMPENSATION",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P08-T02-COMPENSATION-HIGHEST
1:M many rows per filing · tax years 2009–2025 · 69,085 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P08-T02-COMPENSATION-HIGHEST-2025
|
CSV | Parquet | 1,493 |
| 2024 |
PF-P08-T02-COMPENSATION-HIGHEST-2024
|
CSV | Parquet | 8,759 |
| 2023 |
PF-P08-T02-COMPENSATION-HIGHEST-2023
|
CSV | Parquet | 8,582 |
| 2022 |
PF-P08-T02-COMPENSATION-HIGHEST-2022
|
CSV | Parquet | 8,189 |
| 2021 |
PF-P08-T02-COMPENSATION-HIGHEST-2021
|
CSV | Parquet | 7,842 |
| 2020 |
PF-P08-T02-COMPENSATION-HIGHEST-2020
|
CSV | Parquet | 7,463 |
| 2019 |
PF-P08-T02-COMPENSATION-HIGHEST-2019
|
CSV | Parquet | 4,984 |
| 2018 |
PF-P08-T02-COMPENSATION-HIGHEST-2018
|
CSV | Parquet | 3,826 |
| 2017 |
PF-P08-T02-COMPENSATION-HIGHEST-2017
|
CSV | Parquet | 3,295 |
| 2016 |
PF-P08-T02-COMPENSATION-HIGHEST-2016
|
CSV | Parquet | 2,860 |
| 2015 |
PF-P08-T02-COMPENSATION-HIGHEST-2015
|
CSV | Parquet | 2,596 |
| 2014 |
PF-P08-T02-COMPENSATION-HIGHEST-2014
|
CSV | Parquet | 2,207 |
| 2013 |
PF-P08-T02-COMPENSATION-HIGHEST-2013
|
CSV | Parquet | 2,974 |
| 2012 |
PF-P08-T02-COMPENSATION-HIGHEST-2012
|
CSV | Parquet | 1,557 |
| 2011 |
PF-P08-T02-COMPENSATION-HIGHEST-2011
|
CSV | Parquet | 1,238 |
| 2010 |
PF-P08-T02-COMPENSATION-HIGHEST-2010
|
CSV | Parquet | 1,008 |
| 2009 |
PF-P08-T02-COMPENSATION-HIGHEST-2009
|
CSV | Parquet | 212 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P08-T02-COMPENSATION-HIGHEST",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P08-T03-COMPENSATION-CONTRACTORS
1:M many rows per filing · tax years 2009–2025 · 83,907 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2025
|
CSV | Parquet | 2,425 |
| 2024 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2024
|
CSV | Parquet | 11,818 |
| 2023 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2023
|
CSV | Parquet | 11,353 |
| 2022 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2022
|
CSV | Parquet | 10,708 |
| 2021 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2021
|
CSV | Parquet | 9,990 |
| 2020 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2020
|
CSV | Parquet | 9,074 |
| 2019 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2019
|
CSV | Parquet | 5,863 |
| 2018 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2018
|
CSV | Parquet | 4,298 |
| 2017 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2017
|
CSV | Parquet | 3,743 |
| 2016 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2016
|
CSV | Parquet | 3,209 |
| 2015 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2015
|
CSV | Parquet | 2,891 |
| 2014 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2014
|
CSV | Parquet | 2,496 |
| 2013 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2013
|
CSV | Parquet | 1,981 |
| 2012 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2012
|
CSV | Parquet | 1,592 |
| 2011 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2011
|
CSV | Parquet | 1,328 |
| 2010 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2010
|
CSV | Parquet | 946 |
| 2009 |
PF-P08-T03-COMPENSATION-CONTRACTORS-2009
|
CSV | Parquet | 192 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P08-T03-COMPENSATION-CONTRACTORS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
P09 Part IX-A - Summary of Direct Charitable Activities; Part IX-B - Summary of Program-Related Investments (2023: Part VIII-A, VIII-B)
PF-P09-T00-CHARITABLE-ACTIVITIES
1:1 one row per filing · tax years 2009–2025 · 361,888 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2025
|
CSV | Parquet | 18,457 |
| 2024 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2024
|
CSV | Parquet | 35,744 |
| 2023 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2023
|
CSV | Parquet | 36,589 |
| 2022 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2022
|
CSV | Parquet | 35,650 |
| 2021 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2021
|
CSV | Parquet | 34,823 |
| 2020 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2020
|
CSV | Parquet | 33,762 |
| 2019 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2019
|
CSV | Parquet | 24,997 |
| 2018 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2018
|
CSV | Parquet | 22,197 |
| 2017 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2017
|
CSV | Parquet | 20,194 |
| 2016 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2016
|
CSV | Parquet | 18,704 |
| 2015 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2015
|
CSV | Parquet | 16,808 |
| 2014 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2014
|
CSV | Parquet | 15,304 |
| 2013 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2013
|
CSV | Parquet | 15,116 |
| 2012 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2012
|
CSV | Parquet | 13,341 |
| 2011 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2011
|
CSV | Parquet | 11,381 |
| 2010 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2010
|
CSV | Parquet | 7,954 |
| 2009 |
PF-P09-T00-CHARITABLE-ACTIVITIES-2009
|
CSV | Parquet | 867 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P09-T00-CHARITABLE-ACTIVITIES",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P10 Part X - Minimum Investment Return (2023: Part IX)
PF-P10-T00-MINIMUM-INVESTMENT-RETURN
1:1 one row per filing · tax years 2009–2025 · 1,216,452 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2025
|
CSV | Parquet | 66,507 |
| 2024 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2024
|
CSV | Parquet | 122,001 |
| 2023 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2023
|
CSV | Parquet | 123,143 |
| 2022 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2022
|
CSV | Parquet | 120,792 |
| 2021 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2021
|
CSV | Parquet | 117,262 |
| 2020 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2020
|
CSV | Parquet | 113,056 |
| 2019 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2019
|
CSV | Parquet | 86,465 |
| 2018 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2018
|
CSV | Parquet | 78,953 |
| 2017 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2017
|
CSV | Parquet | 67,957 |
| 2016 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2016
|
CSV | Parquet | 62,216 |
| 2015 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2015
|
CSV | Parquet | 58,234 |
| 2014 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2014
|
CSV | Parquet | 52,961 |
| 2013 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2013
|
CSV | Parquet | 45,514 |
| 2012 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2012
|
CSV | Parquet | 39,614 |
| 2011 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2011
|
CSV | Parquet | 34,329 |
| 2010 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2010
|
CSV | Parquet | 25,109 |
| 2009 |
PF-P10-T00-MINIMUM-INVESTMENT-RETURN-2009
|
CSV | Parquet | 2,339 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P10-T00-MINIMUM-INVESTMENT-RETURN",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P11 Part XI - Distributable Amount (2023: Part X)
PF-P11-T00-DISTRIBUTABLE-AMOUNT
1:1 one row per filing · tax years 2009–2025 · 1,234,570 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2025
|
CSV | Parquet | 67,498 |
| 2024 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2024
|
CSV | Parquet | 124,324 |
| 2023 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2023
|
CSV | Parquet | 125,530 |
| 2022 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2022
|
CSV | Parquet | 122,876 |
| 2021 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2021
|
CSV | Parquet | 119,332 |
| 2020 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2020
|
CSV | Parquet | 114,935 |
| 2019 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2019
|
CSV | Parquet | 87,776 |
| 2018 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2018
|
CSV | Parquet | 80,125 |
| 2017 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2017
|
CSV | Parquet | 68,939 |
| 2016 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2016
|
CSV | Parquet | 62,983 |
| 2015 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2015
|
CSV | Parquet | 58,808 |
| 2014 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2014
|
CSV | Parquet | 53,436 |
| 2013 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2013
|
CSV | Parquet | 45,885 |
| 2012 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2012
|
CSV | Parquet | 39,933 |
| 2011 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2011
|
CSV | Parquet | 34,596 |
| 2010 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2010
|
CSV | Parquet | 25,249 |
| 2009 |
PF-P11-T00-DISTRIBUTABLE-AMOUNT-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P11-T00-DISTRIBUTABLE-AMOUNT",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P12 Part XII - Qualifying Distributions (2023: Part XI)
PF-P12-T00-QUALIFYING-DISTRIBUTIONS
1:1 one row per filing · tax years 2009–2025 · 1,234,756 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2025
|
CSV | Parquet | 67,524 |
| 2024 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2024
|
CSV | Parquet | 124,331 |
| 2023 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2023
|
CSV | Parquet | 125,559 |
| 2022 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2022
|
CSV | Parquet | 122,908 |
| 2021 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2021
|
CSV | Parquet | 119,350 |
| 2020 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2020
|
CSV | Parquet | 114,956 |
| 2019 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2019
|
CSV | Parquet | 87,789 |
| 2018 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2018
|
CSV | Parquet | 80,138 |
| 2017 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2017
|
CSV | Parquet | 68,950 |
| 2016 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2016
|
CSV | Parquet | 62,988 |
| 2015 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2015
|
CSV | Parquet | 58,814 |
| 2014 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2014
|
CSV | Parquet | 53,441 |
| 2013 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2013
|
CSV | Parquet | 45,884 |
| 2012 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2012
|
CSV | Parquet | 39,933 |
| 2011 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2011
|
CSV | Parquet | 34,597 |
| 2010 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2010
|
CSV | Parquet | 25,249 |
| 2009 |
PF-P12-T00-QUALIFYING-DISTRIBUTIONS-2009
|
CSV | Parquet | 2,345 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P12-T00-QUALIFYING-DISTRIBUTIONS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P13 Part XIII - Undistributed Income (2023: Part XII)
PF-P13-T00-UNDISTRIBUTED-INCOME
1:1 one row per filing · tax years 2009–2025 · 1,169,629 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2025
|
CSV | Parquet | 63,953 |
| 2024 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2024
|
CSV | Parquet | 116,721 |
| 2023 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2023
|
CSV | Parquet | 118,342 |
| 2022 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2022
|
CSV | Parquet | 116,128 |
| 2021 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2021
|
CSV | Parquet | 113,003 |
| 2020 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2020
|
CSV | Parquet | 109,149 |
| 2019 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2019
|
CSV | Parquet | 83,365 |
| 2018 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2018
|
CSV | Parquet | 76,365 |
| 2017 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2017
|
CSV | Parquet | 65,562 |
| 2016 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2016
|
CSV | Parquet | 59,831 |
| 2015 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2015
|
CSV | Parquet | 55,804 |
| 2014 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2014
|
CSV | Parquet | 50,766 |
| 2013 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2013
|
CSV | Parquet | 43,576 |
| 2012 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2012
|
CSV | Parquet | 37,891 |
| 2011 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2011
|
CSV | Parquet | 32,944 |
| 2010 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2010
|
CSV | Parquet | 23,965 |
| 2009 |
PF-P13-T00-UNDISTRIBUTED-INCOME-2009
|
CSV | Parquet | 2,264 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P13-T00-UNDISTRIBUTED-INCOME",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P14 Part XIV - Private Operating Foundations (2023: Part XIII)
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS
1:1 one row per filing · tax years 2009–2025 · 124,745 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2025
|
CSV | Parquet | 6,788 |
| 2024 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2024
|
CSV | Parquet | 14,016 |
| 2023 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2023
|
CSV | Parquet | 14,090 |
| 2022 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2022
|
CSV | Parquet | 13,350 |
| 2021 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2021
|
CSV | Parquet | 12,783 |
| 2020 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2020
|
CSV | Parquet | 12,043 |
| 2019 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2019
|
CSV | Parquet | 8,510 |
| 2018 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2018
|
CSV | Parquet | 7,240 |
| 2017 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2017
|
CSV | Parquet | 6,578 |
| 2016 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2016
|
CSV | Parquet | 5,915 |
| 2015 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2015
|
CSV | Parquet | 5,525 |
| 2014 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2014
|
CSV | Parquet | 4,782 |
| 2013 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2013
|
CSV | Parquet | 4,101 |
| 2012 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2012
|
CSV | Parquet | 3,623 |
| 2011 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2011
|
CSV | Parquet | 3,006 |
| 2010 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2010
|
CSV | Parquet | 2,164 |
| 2009 |
PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS-2009
|
CSV | Parquet | 231 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P14-T00-PRIVATE-OPERATING-FOUNDATIONS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
P15 Part XV - Supplementary Information (2023: Part XIV)
PF-P15-T00-SUPPLEMENTARY-INFO
1:1 one row per filing · tax years 2009–2025 · 985,936 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P15-T00-SUPPLEMENTARY-INFO-2025
|
CSV | Parquet | 53,589 |
| 2024 |
PF-P15-T00-SUPPLEMENTARY-INFO-2024
|
CSV | Parquet | 98,360 |
| 2023 |
PF-P15-T00-SUPPLEMENTARY-INFO-2023
|
CSV | Parquet | 98,775 |
| 2022 |
PF-P15-T00-SUPPLEMENTARY-INFO-2022
|
CSV | Parquet | 97,233 |
| 2021 |
PF-P15-T00-SUPPLEMENTARY-INFO-2021
|
CSV | Parquet | 94,969 |
| 2020 |
PF-P15-T00-SUPPLEMENTARY-INFO-2020
|
CSV | Parquet | 91,875 |
| 2019 |
PF-P15-T00-SUPPLEMENTARY-INFO-2019
|
CSV | Parquet | 71,120 |
| 2018 |
PF-P15-T00-SUPPLEMENTARY-INFO-2018
|
CSV | Parquet | 64,982 |
| 2017 |
PF-P15-T00-SUPPLEMENTARY-INFO-2017
|
CSV | Parquet | 55,487 |
| 2016 |
PF-P15-T00-SUPPLEMENTARY-INFO-2016
|
CSV | Parquet | 50,666 |
| 2015 |
PF-P15-T00-SUPPLEMENTARY-INFO-2015
|
CSV | Parquet | 47,363 |
| 2014 |
PF-P15-T00-SUPPLEMENTARY-INFO-2014
|
CSV | Parquet | 43,049 |
| 2013 |
PF-P15-T00-SUPPLEMENTARY-INFO-2013
|
CSV | Parquet | 36,883 |
| 2012 |
PF-P15-T00-SUPPLEMENTARY-INFO-2012
|
CSV | Parquet | 31,989 |
| 2011 |
PF-P15-T00-SUPPLEMENTARY-INFO-2011
|
CSV | Parquet | 27,636 |
| 2010 |
PF-P15-T00-SUPPLEMENTARY-INFO-2010
|
CSV | Parquet | 20,143 |
| 2009 |
PF-P15-T00-SUPPLEMENTARY-INFO-2009
|
CSV | Parquet | 1,817 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P15-T00-SUPPLEMENTARY-INFO",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP
1:M many rows per filing · tax years 2009–2025 · 322,652 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2025
|
CSV | Parquet | 14,954 |
| 2024 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2024
|
CSV | Parquet | 29,682 |
| 2023 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2023
|
CSV | Parquet | 30,301 |
| 2022 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2022
|
CSV | Parquet | 30,539 |
| 2021 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2021
|
CSV | Parquet | 30,406 |
| 2020 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2020
|
CSV | Parquet | 30,136 |
| 2019 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2019
|
CSV | Parquet | 22,903 |
| 2018 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2018
|
CSV | Parquet | 20,987 |
| 2017 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2017
|
CSV | Parquet | 18,974 |
| 2016 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2016
|
CSV | Parquet | 17,550 |
| 2015 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2015
|
CSV | Parquet | 16,566 |
| 2014 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2014
|
CSV | Parquet | 15,275 |
| 2013 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2013
|
CSV | Parquet | 13,520 |
| 2012 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2012
|
CSV | Parquet | 11,962 |
| 2011 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2011
|
CSV | Parquet | 10,338 |
| 2010 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2010
|
CSV | Parquet | 7,743 |
| 2009 |
PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP-2009
|
CSV | Parquet | 816 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P15-T03-SUPPLEMENTARY-INFO-GRANT-APP",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE
1:1 one row per filing · tax years 2009–2025 · 519,533 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2025
|
CSV | Parquet | 26,060 |
| 2024 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2024
|
CSV | Parquet | 53,298 |
| 2023 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2023
|
CSV | Parquet | 52,127 |
| 2022 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2022
|
CSV | Parquet | 50,604 |
| 2021 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2021
|
CSV | Parquet | 49,352 |
| 2020 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2020
|
CSV | Parquet | 47,429 |
| 2019 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2019
|
CSV | Parquet | 36,114 |
| 2018 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2018
|
CSV | Parquet | 32,963 |
| 2017 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2017
|
CSV | Parquet | 29,534 |
| 2016 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2016
|
CSV | Parquet | 26,772 |
| 2015 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2015
|
CSV | Parquet | 24,801 |
| 2014 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2014
|
CSV | Parquet | 22,602 |
| 2013 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2013
|
CSV | Parquet | 21,580 |
| 2012 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2012
|
CSV | Parquet | 17,820 |
| 2011 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2011
|
CSV | Parquet | 15,674 |
| 2010 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2010
|
CSV | Parquet | 11,516 |
| 2009 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE-2009
|
CSV | Parquet | 1,287 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-FUTURE",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID
1:1 one row per filing · tax years 2009–2025 · 1,079,945 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2025
|
CSV | Parquet | 57,563 |
| 2024 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2024
|
CSV | Parquet | 106,218 |
| 2023 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2023
|
CSV | Parquet | 106,310 |
| 2022 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2022
|
CSV | Parquet | 105,508 |
| 2021 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2021
|
CSV | Parquet | 103,346 |
| 2020 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2020
|
CSV | Parquet | 100,977 |
| 2019 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2019
|
CSV | Parquet | 78,153 |
| 2018 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2018
|
CSV | Parquet | 71,484 |
| 2017 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2017
|
CSV | Parquet | 61,392 |
| 2016 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2016
|
CSV | Parquet | 56,094 |
| 2015 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2015
|
CSV | Parquet | 52,514 |
| 2014 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2014
|
CSV | Parquet | 48,138 |
| 2013 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2013
|
CSV | Parquet | 41,192 |
| 2012 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2012
|
CSV | Parquet | 35,434 |
| 2011 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2011
|
CSV | Parquet | 30,872 |
| 2010 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2010
|
CSV | Parquet | 22,626 |
| 2009 |
PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID-2009
|
CSV | Parquet | 2,124 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P15-T00-SUPPLEMENTARY-INFO-GRANT-PAID",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID
1:M many rows per filing · tax years 2009–2025 · 17,560,767 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2025
|
CSV | Parquet | 660,956 |
| 2024 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2024
|
CSV | Parquet | 1,576,516 |
| 2023 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2023
|
CSV | Parquet | 2,047,052 |
| 2022 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2022
|
CSV | Parquet | 2,052,042 |
| 2021 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2021
|
CSV | Parquet | 2,031,798 |
| 2020 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2020
|
CSV | Parquet | 1,962,611 |
| 2019 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2019
|
CSV | Parquet | 1,151,964 |
| 2018 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2018
|
CSV | Parquet | 983,450 |
| 2017 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2017
|
CSV | Parquet | 876,766 |
| 2016 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2016
|
CSV | Parquet | 797,068 |
| 2015 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2015
|
CSV | Parquet | 790,979 |
| 2014 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2014
|
CSV | Parquet | 711,162 |
| 2013 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2013
|
CSV | Parquet | 613,008 |
| 2012 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2012
|
CSV | Parquet | 559,962 |
| 2011 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2011
|
CSV | Parquet | 409,242 |
| 2010 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2010
|
CSV | Parquet | 301,258 |
| 2009 |
PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID-2009
|
CSV | Parquet | 34,933 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P15-T01-SUPPLEMENTARY-INFO-GRANT-PAID",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE
1:M many rows per filing · tax years 2009–2025 · 465,280 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2025
|
CSV | Parquet | 6,234 |
| 2024 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2024
|
CSV | Parquet | 49,501 |
| 2023 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2023
|
CSV | Parquet | 52,655 |
| 2022 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2022
|
CSV | Parquet | 51,359 |
| 2021 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2021
|
CSV | Parquet | 48,712 |
| 2020 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2020
|
CSV | Parquet | 47,076 |
| 2019 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2019
|
CSV | Parquet | 31,663 |
| 2018 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2018
|
CSV | Parquet | 23,137 |
| 2017 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2017
|
CSV | Parquet | 21,859 |
| 2016 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2016
|
CSV | Parquet | 21,360 |
| 2015 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2015
|
CSV | Parquet | 21,740 |
| 2014 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2014
|
CSV | Parquet | 18,861 |
| 2013 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2013
|
CSV | Parquet | 17,351 |
| 2012 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2012
|
CSV | Parquet | 23,432 |
| 2011 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2011
|
CSV | Parquet | 15,219 |
| 2010 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2010
|
CSV | Parquet | 11,275 |
| 2009 |
PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE-2009
|
CSV | Parquet | 3,846 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P15-T02-SUPPLEMENTARY-INFO-GRANT-FUTURE",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
P16 Part XVI-A - Analysis of Income-Producing Activities; Part XVI-B - Relationship of Activities to the Accomplishment of Exempt Purposes (2023: Part XV)
PF-P16-T00-INCOME-PRODUCING-ACTS
1:1 one row per filing · tax years 2009–2025 · 1,096,253 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2025
|
CSV | Parquet | 59,790 |
| 2024 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2024
|
CSV | Parquet | 109,239 |
| 2023 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2023
|
CSV | Parquet | 109,487 |
| 2022 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2022
|
CSV | Parquet | 107,357 |
| 2021 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2021
|
CSV | Parquet | 104,607 |
| 2020 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2020
|
CSV | Parquet | 101,977 |
| 2019 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2019
|
CSV | Parquet | 78,419 |
| 2018 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2018
|
CSV | Parquet | 71,300 |
| 2017 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2017
|
CSV | Parquet | 61,305 |
| 2016 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2016
|
CSV | Parquet | 56,194 |
| 2015 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2015
|
CSV | Parquet | 52,766 |
| 2014 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2014
|
CSV | Parquet | 48,328 |
| 2013 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2013
|
CSV | Parquet | 41,751 |
| 2012 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2012
|
CSV | Parquet | 36,391 |
| 2011 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2011
|
CSV | Parquet | 31,787 |
| 2010 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2010
|
CSV | Parquet | 23,349 |
| 2009 |
PF-P16-T00-INCOME-PRODUCING-ACTS-2009
|
CSV | Parquet | 2,206 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P16-T00-INCOME-PRODUCING-ACTS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P16-T01-INCOME-PRODUCING-ACTS
1:M many rows per filing · tax years 2009–2025 · 256,446 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2025
|
CSV | Parquet | 31,290 |
| 2024 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2024
|
CSV | Parquet | 46,054 |
| 2023 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2023
|
CSV | Parquet | 45,000 |
| 2022 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2022
|
CSV | Parquet | 40,223 |
| 2021 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2021
|
CSV | Parquet | 30,597 |
| 2020 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2020
|
CSV | Parquet | 27,776 |
| 2019 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2019
|
CSV | Parquet | 8,079 |
| 2018 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2018
|
CSV | Parquet | 4,781 |
| 2017 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2017
|
CSV | Parquet | 4,068 |
| 2016 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2016
|
CSV | Parquet | 3,657 |
| 2015 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2015
|
CSV | Parquet | 3,398 |
| 2014 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2014
|
CSV | Parquet | 3,041 |
| 2013 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2013
|
CSV | Parquet | 2,705 |
| 2012 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2012
|
CSV | Parquet | 2,235 |
| 2011 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2011
|
CSV | Parquet | 1,927 |
| 2010 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2010
|
CSV | Parquet | 1,399 |
| 2009 |
PF-P16-T01-INCOME-PRODUCING-ACTS-2009
|
CSV | Parquet | 216 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P16-T01-INCOME-PRODUCING-ACTS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P16-T02-INCOME-PRODUCING-ACTS
1:M many rows per filing · tax years 2009–2025 · 424,532 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2025
|
CSV | Parquet | 29,726 |
| 2024 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2024
|
CSV | Parquet | 56,328 |
| 2023 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2023
|
CSV | Parquet | 63,502 |
| 2022 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2022
|
CSV | Parquet | 51,053 |
| 2021 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2021
|
CSV | Parquet | 45,755 |
| 2020 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2020
|
CSV | Parquet | 42,655 |
| 2019 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2019
|
CSV | Parquet | 24,265 |
| 2018 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2018
|
CSV | Parquet | 16,936 |
| 2017 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2017
|
CSV | Parquet | 18,102 |
| 2016 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2016
|
CSV | Parquet | 15,698 |
| 2015 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2015
|
CSV | Parquet | 14,194 |
| 2014 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2014
|
CSV | Parquet | 12,335 |
| 2013 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2013
|
CSV | Parquet | 10,913 |
| 2012 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2012
|
CSV | Parquet | 9,025 |
| 2011 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2011
|
CSV | Parquet | 7,263 |
| 2010 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2010
|
CSV | Parquet | 5,980 |
| 2009 |
PF-P16-T02-INCOME-PRODUCING-ACTS-2009
|
CSV | Parquet | 802 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P16-T02-INCOME-PRODUCING-ACTS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE
1:M many rows per filing · tax years 2009–2025 · 304,116 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2025
|
CSV | Parquet | 12,549 |
| 2024 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2024
|
CSV | Parquet | 28,140 |
| 2023 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2023
|
CSV | Parquet | 31,000 |
| 2022 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2022
|
CSV | Parquet | 30,605 |
| 2021 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2021
|
CSV | Parquet | 29,659 |
| 2020 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2020
|
CSV | Parquet | 29,125 |
| 2019 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2019
|
CSV | Parquet | 22,760 |
| 2018 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2018
|
CSV | Parquet | 19,944 |
| 2017 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2017
|
CSV | Parquet | 17,144 |
| 2016 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2016
|
CSV | Parquet | 15,986 |
| 2015 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2015
|
CSV | Parquet | 14,937 |
| 2014 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2014
|
CSV | Parquet | 13,551 |
| 2013 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2013
|
CSV | Parquet | 11,938 |
| 2012 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2012
|
CSV | Parquet | 10,542 |
| 2011 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2011
|
CSV | Parquet | 8,902 |
| 2010 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2010
|
CSV | Parquet | 6,545 |
| 2009 |
PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE-2009
|
CSV | Parquet | 789 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P16-T03-ACTS-RELATIONSHIP-EXEMPT-PURPOSE",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
P17 Part XVII - Information Regarding Transfers to and Transactions and Relationships With Noncharitable Exempt Organizations (2023: Part XVI)
PF-P17-T00-RELATIONSHIPS
1:1 one row per filing · tax years 2009–2025 · 1,226,797 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P17-T00-RELATIONSHIPS-2025
|
CSV | Parquet | 66,267 |
| 2024 |
PF-P17-T00-RELATIONSHIPS-2024
|
CSV | Parquet | 122,817 |
| 2023 |
PF-P17-T00-RELATIONSHIPS-2023
|
CSV | Parquet | 124,459 |
| 2022 |
PF-P17-T00-RELATIONSHIPS-2022
|
CSV | Parquet | 121,679 |
| 2021 |
PF-P17-T00-RELATIONSHIPS-2021
|
CSV | Parquet | 118,751 |
| 2020 |
PF-P17-T00-RELATIONSHIPS-2020
|
CSV | Parquet | 114,316 |
| 2019 |
PF-P17-T00-RELATIONSHIPS-2019
|
CSV | Parquet | 87,509 |
| 2018 |
PF-P17-T00-RELATIONSHIPS-2018
|
CSV | Parquet | 79,901 |
| 2017 |
PF-P17-T00-RELATIONSHIPS-2017
|
CSV | Parquet | 68,723 |
| 2016 |
PF-P17-T00-RELATIONSHIPS-2016
|
CSV | Parquet | 62,794 |
| 2015 |
PF-P17-T00-RELATIONSHIPS-2015
|
CSV | Parquet | 58,637 |
| 2014 |
PF-P17-T00-RELATIONSHIPS-2014
|
CSV | Parquet | 53,274 |
| 2013 |
PF-P17-T00-RELATIONSHIPS-2013
|
CSV | Parquet | 45,778 |
| 2012 |
PF-P17-T00-RELATIONSHIPS-2012
|
CSV | Parquet | 39,836 |
| 2011 |
PF-P17-T00-RELATIONSHIPS-2011
|
CSV | Parquet | 34,519 |
| 2010 |
PF-P17-T00-RELATIONSHIPS-2010
|
CSV | Parquet | 25,193 |
| 2009 |
PF-P17-T00-RELATIONSHIPS-2009
|
CSV | Parquet | 2,344 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P17-T00-RELATIONSHIPS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P17-T00-TRANSFERS-TRANSACTIONS
1:1 one row per filing · tax years 2009–2025 · 1,226,797 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2025
|
CSV | Parquet | 66,267 |
| 2024 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2024
|
CSV | Parquet | 122,817 |
| 2023 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2023
|
CSV | Parquet | 124,459 |
| 2022 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2022
|
CSV | Parquet | 121,679 |
| 2021 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2021
|
CSV | Parquet | 118,751 |
| 2020 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2020
|
CSV | Parquet | 114,316 |
| 2019 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2019
|
CSV | Parquet | 87,509 |
| 2018 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2018
|
CSV | Parquet | 79,901 |
| 2017 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2017
|
CSV | Parquet | 68,723 |
| 2016 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2016
|
CSV | Parquet | 62,794 |
| 2015 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2015
|
CSV | Parquet | 58,637 |
| 2014 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2014
|
CSV | Parquet | 53,274 |
| 2013 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2013
|
CSV | Parquet | 45,778 |
| 2012 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2012
|
CSV | Parquet | 39,836 |
| 2011 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2011
|
CSV | Parquet | 34,519 |
| 2010 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2010
|
CSV | Parquet | 25,193 |
| 2009 |
PF-P17-T00-TRANSFERS-TRANSACTIONS-2009
|
CSV | Parquet | 2,344 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P17-T00-TRANSFERS-TRANSACTIONS",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P17-T01-TRANSFERS-TRANSACTIONS
1:M many rows per filing · tax years 2009–2025 · 12,181 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2025
|
CSV | Parquet | 499 |
| 2024 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2024
|
CSV | Parquet | 1,384 |
| 2023 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2023
|
CSV | Parquet | 1,328 |
| 2022 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2022
|
CSV | Parquet | 1,336 |
| 2021 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2021
|
CSV | Parquet | 1,265 |
| 2020 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2020
|
CSV | Parquet | 1,154 |
| 2019 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2019
|
CSV | Parquet | 802 |
| 2018 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2018
|
CSV | Parquet | 716 |
| 2017 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2017
|
CSV | Parquet | 646 |
| 2016 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2016
|
CSV | Parquet | 539 |
| 2015 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2015
|
CSV | Parquet | 500 |
| 2014 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2014
|
CSV | Parquet | 517 |
| 2013 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2013
|
CSV | Parquet | 477 |
| 2012 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2012
|
CSV | Parquet | 410 |
| 2011 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2011
|
CSV | Parquet | 336 |
| 2010 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2010
|
CSV | Parquet | 237 |
| 2009 |
PF-P17-T01-TRANSFERS-TRANSACTIONS-2009
|
CSV | Parquet | 35 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P17-T01-TRANSFERS-TRANSACTIONS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P17-T02-RELATIONSHIPS
1:M many rows per filing · tax years 2009–2025 · 20,236 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P17-T02-RELATIONSHIPS-2025
|
CSV | Parquet | 752 |
| 2024 |
PF-P17-T02-RELATIONSHIPS-2024
|
CSV | Parquet | 2,230 |
| 2023 |
PF-P17-T02-RELATIONSHIPS-2023
|
CSV | Parquet | 2,284 |
| 2022 |
PF-P17-T02-RELATIONSHIPS-2022
|
CSV | Parquet | 2,236 |
| 2021 |
PF-P17-T02-RELATIONSHIPS-2021
|
CSV | Parquet | 2,178 |
| 2020 |
PF-P17-T02-RELATIONSHIPS-2020
|
CSV | Parquet | 2,147 |
| 2019 |
PF-P17-T02-RELATIONSHIPS-2019
|
CSV | Parquet | 1,559 |
| 2018 |
PF-P17-T02-RELATIONSHIPS-2018
|
CSV | Parquet | 1,124 |
| 2017 |
PF-P17-T02-RELATIONSHIPS-2017
|
CSV | Parquet | 996 |
| 2016 |
PF-P17-T02-RELATIONSHIPS-2016
|
CSV | Parquet | 954 |
| 2015 |
PF-P17-T02-RELATIONSHIPS-2015
|
CSV | Parquet | 829 |
| 2014 |
PF-P17-T02-RELATIONSHIPS-2014
|
CSV | Parquet | 783 |
| 2013 |
PF-P17-T02-RELATIONSHIPS-2013
|
CSV | Parquet | 660 |
| 2012 |
PF-P17-T02-RELATIONSHIPS-2012
|
CSV | Parquet | 536 |
| 2011 |
PF-P17-T02-RELATIONSHIPS-2011
|
CSV | Parquet | 496 |
| 2010 |
PF-P17-T02-RELATIONSHIPS-2010
|
CSV | Parquet | 403 |
| 2009 |
PF-P17-T02-RELATIONSHIPS-2009
|
CSV | Parquet | 69 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P17-T02-RELATIONSHIPS",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
P99 Auxiliary schedules and attachments (statements filed with the 990-PF)
PF-P99-T00-AUXILLIARY
1:1 one row per filing · tax years 2009–2025 · 106,591 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T00-AUXILLIARY-2025
|
CSV | Parquet | 6,879 |
| 2024 |
PF-P99-T00-AUXILLIARY-2024
|
CSV | Parquet | 12,633 |
| 2023 |
PF-P99-T00-AUXILLIARY-2023
|
CSV | Parquet | 12,404 |
| 2022 |
PF-P99-T00-AUXILLIARY-2022
|
CSV | Parquet | 11,588 |
| 2021 |
PF-P99-T00-AUXILLIARY-2021
|
CSV | Parquet | 11,208 |
| 2020 |
PF-P99-T00-AUXILLIARY-2020
|
CSV | Parquet | 10,732 |
| 2019 |
PF-P99-T00-AUXILLIARY-2019
|
CSV | Parquet | 7,270 |
| 2018 |
PF-P99-T00-AUXILLIARY-2018
|
CSV | Parquet | 6,351 |
| 2017 |
PF-P99-T00-AUXILLIARY-2017
|
CSV | Parquet | 5,270 |
| 2016 |
PF-P99-T00-AUXILLIARY-2016
|
CSV | Parquet | 4,558 |
| 2015 |
PF-P99-T00-AUXILLIARY-2015
|
CSV | Parquet | 4,214 |
| 2014 |
PF-P99-T00-AUXILLIARY-2014
|
CSV | Parquet | 3,627 |
| 2013 |
PF-P99-T00-AUXILLIARY-2013
|
CSV | Parquet | 3,157 |
| 2012 |
PF-P99-T00-AUXILLIARY-2012
|
CSV | Parquet | 2,830 |
| 2011 |
PF-P99-T00-AUXILLIARY-2011
|
CSV | Parquet | 2,297 |
| 2010 |
PF-P99-T00-AUXILLIARY-2010
|
CSV | Parquet | 1,425 |
| 2009 |
PF-P99-T00-AUXILLIARY-2009
|
CSV | Parquet | 148 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T00-AUXILLIARY",
years = 2020:2024,
source = data_source( form = "990PF" ),
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T01-ACC-FEES
1:M many rows per filing · tax years 2009–2025 · 778,846 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T01-ACC-FEES-2025
|
CSV | Parquet | 41,919 |
| 2024 |
PF-P99-T01-ACC-FEES-2024
|
CSV | Parquet | 75,808 |
| 2023 |
PF-P99-T01-ACC-FEES-2023
|
CSV | Parquet | 75,703 |
| 2022 |
PF-P99-T01-ACC-FEES-2022
|
CSV | Parquet | 73,713 |
| 2021 |
PF-P99-T01-ACC-FEES-2021
|
CSV | Parquet | 72,170 |
| 2020 |
PF-P99-T01-ACC-FEES-2020
|
CSV | Parquet | 70,276 |
| 2019 |
PF-P99-T01-ACC-FEES-2019
|
CSV | Parquet | 56,774 |
| 2018 |
PF-P99-T01-ACC-FEES-2018
|
CSV | Parquet | 52,429 |
| 2017 |
PF-P99-T01-ACC-FEES-2017
|
CSV | Parquet | 45,175 |
| 2016 |
PF-P99-T01-ACC-FEES-2016
|
CSV | Parquet | 41,970 |
| 2015 |
PF-P99-T01-ACC-FEES-2015
|
CSV | Parquet | 39,230 |
| 2014 |
PF-P99-T01-ACC-FEES-2014
|
CSV | Parquet | 35,329 |
| 2013 |
PF-P99-T01-ACC-FEES-2013
|
CSV | Parquet | 29,639 |
| 2012 |
PF-P99-T01-ACC-FEES-2012
|
CSV | Parquet | 26,795 |
| 2011 |
PF-P99-T01-ACC-FEES-2011
|
CSV | Parquet | 23,366 |
| 2010 |
PF-P99-T01-ACC-FEES-2010
|
CSV | Parquet | 16,858 |
| 2009 |
PF-P99-T01-ACC-FEES-2009
|
CSV | Parquet | 1,692 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T01-ACC-FEES",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T03-PROG-INVEST-OTH
1:M many rows per filing · tax years 2009–2025 · 40,440 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T03-PROG-INVEST-OTH-2025
|
CSV | Parquet | 1,117 |
| 2024 |
PF-P99-T03-PROG-INVEST-OTH-2024
|
CSV | Parquet | 3,115 |
| 2023 |
PF-P99-T03-PROG-INVEST-OTH-2023
|
CSV | Parquet | 3,127 |
| 2022 |
PF-P99-T03-PROG-INVEST-OTH-2022
|
CSV | Parquet | 3,226 |
| 2021 |
PF-P99-T03-PROG-INVEST-OTH-2021
|
CSV | Parquet | 3,315 |
| 2020 |
PF-P99-T03-PROG-INVEST-OTH-2020
|
CSV | Parquet | 3,387 |
| 2019 |
PF-P99-T03-PROG-INVEST-OTH-2019
|
CSV | Parquet | 2,685 |
| 2018 |
PF-P99-T03-PROG-INVEST-OTH-2018
|
CSV | Parquet | 2,149 |
| 2017 |
PF-P99-T03-PROG-INVEST-OTH-2017
|
CSV | Parquet | 1,998 |
| 2016 |
PF-P99-T03-PROG-INVEST-OTH-2016
|
CSV | Parquet | 1,861 |
| 2015 |
PF-P99-T03-PROG-INVEST-OTH-2015
|
CSV | Parquet | 1,767 |
| 2014 |
PF-P99-T03-PROG-INVEST-OTH-2014
|
CSV | Parquet | 1,665 |
| 2013 |
PF-P99-T03-PROG-INVEST-OTH-2013
|
CSV | Parquet | 3,335 |
| 2012 |
PF-P99-T03-PROG-INVEST-OTH-2012
|
CSV | Parquet | 2,975 |
| 2011 |
PF-P99-T03-PROG-INVEST-OTH-2011
|
CSV | Parquet | 2,734 |
| 2010 |
PF-P99-T03-PROG-INVEST-OTH-2010
|
CSV | Parquet | 1,744 |
| 2009 |
PF-P99-T03-PROG-INVEST-OTH-2009
|
CSV | Parquet | 240 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T03-PROG-INVEST-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T04-AMORTIZATION
1:M many rows per filing · tax years 2009–2025 · 18,581 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T04-AMORTIZATION-2025
|
CSV | Parquet | 295 |
| 2024 |
PF-P99-T04-AMORTIZATION-2024
|
CSV | Parquet | 1,799 |
| 2023 |
PF-P99-T04-AMORTIZATION-2023
|
CSV | Parquet | 1,977 |
| 2022 |
PF-P99-T04-AMORTIZATION-2022
|
CSV | Parquet | 2,155 |
| 2021 |
PF-P99-T04-AMORTIZATION-2021
|
CSV | Parquet | 2,188 |
| 2020 |
PF-P99-T04-AMORTIZATION-2020
|
CSV | Parquet | 1,861 |
| 2019 |
PF-P99-T04-AMORTIZATION-2019
|
CSV | Parquet | 1,429 |
| 2018 |
PF-P99-T04-AMORTIZATION-2018
|
CSV | Parquet | 1,207 |
| 2017 |
PF-P99-T04-AMORTIZATION-2017
|
CSV | Parquet | 1,112 |
| 2016 |
PF-P99-T04-AMORTIZATION-2016
|
CSV | Parquet | 913 |
| 2015 |
PF-P99-T04-AMORTIZATION-2015
|
CSV | Parquet | 891 |
| 2014 |
PF-P99-T04-AMORTIZATION-2014
|
CSV | Parquet | 791 |
| 2013 |
PF-P99-T04-AMORTIZATION-2013
|
CSV | Parquet | 663 |
| 2012 |
PF-P99-T04-AMORTIZATION-2012
|
CSV | Parquet | 525 |
| 2011 |
PF-P99-T04-AMORTIZATION-2011
|
CSV | Parquet | 397 |
| 2010 |
PF-P99-T04-AMORTIZATION-2010
|
CSV | Parquet | 320 |
| 2009 |
PF-P99-T04-AMORTIZATION-2009
|
CSV | Parquet | 58 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T04-AMORTIZATION",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T06-FUND-BORROWED
1:M many rows per filing · tax years 2011–2025 · 176 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T06-FUND-BORROWED-2025
|
CSV | Parquet | 13 |
| 2024 |
PF-P99-T06-FUND-BORROWED-2024
|
CSV | Parquet | 24 |
| 2023 |
PF-P99-T06-FUND-BORROWED-2023
|
CSV | Parquet | 24 |
| 2022 |
PF-P99-T06-FUND-BORROWED-2022
|
CSV | Parquet | 27 |
| 2021 |
PF-P99-T06-FUND-BORROWED-2021
|
CSV | Parquet | 22 |
| 2020 |
PF-P99-T06-FUND-BORROWED-2020
|
CSV | Parquet | 17 |
| 2019 |
PF-P99-T06-FUND-BORROWED-2019
|
CSV | Parquet | 10 |
| 2018 |
PF-P99-T06-FUND-BORROWED-2018
|
CSV | Parquet | 7 |
| 2017 |
PF-P99-T06-FUND-BORROWED-2017
|
CSV | Parquet | 7 |
| 2016 |
PF-P99-T06-FUND-BORROWED-2016
|
CSV | Parquet | 6 |
| 2015 |
PF-P99-T06-FUND-BORROWED-2015
|
CSV | Parquet | 6 |
| 2014 |
PF-P99-T06-FUND-BORROWED-2014
|
CSV | Parquet | 5 |
| 2013 |
PF-P99-T06-FUND-BORROWED-2013
|
CSV | Parquet | 4 |
| 2012 |
PF-P99-T06-FUND-BORROWED-2012
|
CSV | Parquet | 2 |
| 2011 |
PF-P99-T06-FUND-BORROWED-2011
|
CSV | Parquet | 2 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T06-FUND-BORROWED",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T09-COMP
1:M many rows per filing · tax years 2009–2025 · 113,598 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T09-COMP-2025
|
CSV | Parquet | 2,061 |
| 2024 |
PF-P99-T09-COMP-2024
|
CSV | Parquet | 3,347 |
| 2023 |
PF-P99-T09-COMP-2023
|
CSV | Parquet | 3,612 |
| 2022 |
PF-P99-T09-COMP-2022
|
CSV | Parquet | 3,046 |
| 2021 |
PF-P99-T09-COMP-2021
|
CSV | Parquet | 3,297 |
| 2020 |
PF-P99-T09-COMP-2020
|
CSV | Parquet | 3,216 |
| 2019 |
PF-P99-T09-COMP-2019
|
CSV | Parquet | 2,270 |
| 2018 |
PF-P99-T09-COMP-2018
|
CSV | Parquet | 2,086 |
| 2017 |
PF-P99-T09-COMP-2017
|
CSV | Parquet | 2,042 |
| 2016 |
PF-P99-T09-COMP-2016
|
CSV | Parquet | 2,053 |
| 2015 |
PF-P99-T09-COMP-2015
|
CSV | Parquet | 1,597 |
| 2014 |
PF-P99-T09-COMP-2014
|
CSV | Parquet | 1,295 |
| 2013 |
PF-P99-T09-COMP-2013
|
CSV | Parquet | 26,913 |
| 2012 |
PF-P99-T09-COMP-2012
|
CSV | Parquet | 22,994 |
| 2011 |
PF-P99-T09-COMP-2011
|
CSV | Parquet | 19,337 |
| 2010 |
PF-P99-T09-COMP-2010
|
CSV | Parquet | 14,396 |
| 2009 |
PF-P99-T09-COMP-2009
|
CSV | Parquet | 36 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T09-COMP",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T10-COMP-KONTR
1:M many rows per filing · tax years 2009–2025 · 5,490 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T10-COMP-KONTR-2025
|
CSV | Parquet | 216 |
| 2024 |
PF-P99-T10-COMP-KONTR-2024
|
CSV | Parquet | 639 |
| 2023 |
PF-P99-T10-COMP-KONTR-2023
|
CSV | Parquet | 605 |
| 2022 |
PF-P99-T10-COMP-KONTR-2022
|
CSV | Parquet | 570 |
| 2021 |
PF-P99-T10-COMP-KONTR-2021
|
CSV | Parquet | 501 |
| 2020 |
PF-P99-T10-COMP-KONTR-2020
|
CSV | Parquet | 404 |
| 2019 |
PF-P99-T10-COMP-KONTR-2019
|
CSV | Parquet | 317 |
| 2018 |
PF-P99-T10-COMP-KONTR-2018
|
CSV | Parquet | 283 |
| 2017 |
PF-P99-T10-COMP-KONTR-2017
|
CSV | Parquet | 257 |
| 2016 |
PF-P99-T10-COMP-KONTR-2016
|
CSV | Parquet | 242 |
| 2015 |
PF-P99-T10-COMP-KONTR-2015
|
CSV | Parquet | 234 |
| 2014 |
PF-P99-T10-COMP-KONTR-2014
|
CSV | Parquet | 214 |
| 2013 |
PF-P99-T10-COMP-KONTR-2013
|
CSV | Parquet | 379 |
| 2012 |
PF-P99-T10-COMP-KONTR-2012
|
CSV | Parquet | 265 |
| 2011 |
PF-P99-T10-COMP-KONTR-2011
|
CSV | Parquet | 198 |
| 2010 |
PF-P99-T10-COMP-KONTR-2010
|
CSV | Parquet | 141 |
| 2009 |
PF-P99-T10-COMP-KONTR-2009
|
CSV | Parquet | 25 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T10-COMP-KONTR",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T11-DEPREC
1:M many rows per filing · tax years 2009–2025 · 1,241,487 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T11-DEPREC-2025
|
CSV | Parquet | 31,650 |
| 2024 |
PF-P99-T11-DEPREC-2024
|
CSV | Parquet | 118,555 |
| 2023 |
PF-P99-T11-DEPREC-2023
|
CSV | Parquet | 122,729 |
| 2022 |
PF-P99-T11-DEPREC-2022
|
CSV | Parquet | 120,088 |
| 2021 |
PF-P99-T11-DEPREC-2021
|
CSV | Parquet | 120,366 |
| 2020 |
PF-P99-T11-DEPREC-2020
|
CSV | Parquet | 116,183 |
| 2019 |
PF-P99-T11-DEPREC-2019
|
CSV | Parquet | 86,983 |
| 2018 |
PF-P99-T11-DEPREC-2018
|
CSV | Parquet | 79,694 |
| 2017 |
PF-P99-T11-DEPREC-2017
|
CSV | Parquet | 77,432 |
| 2016 |
PF-P99-T11-DEPREC-2016
|
CSV | Parquet | 71,029 |
| 2015 |
PF-P99-T11-DEPREC-2015
|
CSV | Parquet | 68,860 |
| 2014 |
PF-P99-T11-DEPREC-2014
|
CSV | Parquet | 61,765 |
| 2013 |
PF-P99-T11-DEPREC-2013
|
CSV | Parquet | 52,983 |
| 2012 |
PF-P99-T11-DEPREC-2012
|
CSV | Parquet | 43,897 |
| 2011 |
PF-P99-T11-DEPREC-2011
|
CSV | Parquet | 37,291 |
| 2010 |
PF-P99-T11-DEPREC-2010
|
CSV | Parquet | 27,495 |
| 2009 |
PF-P99-T11-DEPREC-2009
|
CSV | Parquet | 4,487 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T11-DEPREC",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T12-DISSOLUTION
1:M many rows per filing · tax years 2009–2025 · 18,877 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T12-DISSOLUTION-2025
|
CSV | Parquet | 1,365 |
| 2024 |
PF-P99-T12-DISSOLUTION-2024
|
CSV | Parquet | 2,330 |
| 2023 |
PF-P99-T12-DISSOLUTION-2023
|
CSV | Parquet | 2,449 |
| 2022 |
PF-P99-T12-DISSOLUTION-2022
|
CSV | Parquet | 1,980 |
| 2021 |
PF-P99-T12-DISSOLUTION-2021
|
CSV | Parquet | 1,901 |
| 2020 |
PF-P99-T12-DISSOLUTION-2020
|
CSV | Parquet | 1,882 |
| 2019 |
PF-P99-T12-DISSOLUTION-2019
|
CSV | Parquet | 1,152 |
| 2018 |
PF-P99-T12-DISSOLUTION-2018
|
CSV | Parquet | 1,141 |
| 2017 |
PF-P99-T12-DISSOLUTION-2017
|
CSV | Parquet | 1,004 |
| 2016 |
PF-P99-T12-DISSOLUTION-2016
|
CSV | Parquet | 744 |
| 2015 |
PF-P99-T12-DISSOLUTION-2015
|
CSV | Parquet | 708 |
| 2014 |
PF-P99-T12-DISSOLUTION-2014
|
CSV | Parquet | 590 |
| 2013 |
PF-P99-T12-DISSOLUTION-2013
|
CSV | Parquet | 636 |
| 2012 |
PF-P99-T12-DISSOLUTION-2012
|
CSV | Parquet | 468 |
| 2011 |
PF-P99-T12-DISSOLUTION-2011
|
CSV | Parquet | 280 |
| 2010 |
PF-P99-T12-DISSOLUTION-2010
|
CSV | Parquet | 237 |
| 2009 |
PF-P99-T12-DISSOLUTION-2009
|
CSV | Parquet | 10 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T12-DISSOLUTION",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T16-EXP-RESPONSIBILITY
1:M many rows per filing · tax years 2009–2025 · 137,686 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T16-EXP-RESPONSIBILITY-2025
|
CSV | Parquet | 1,958 |
| 2024 |
PF-P99-T16-EXP-RESPONSIBILITY-2024
|
CSV | Parquet | 17,251 |
| 2023 |
PF-P99-T16-EXP-RESPONSIBILITY-2023
|
CSV | Parquet | 15,139 |
| 2022 |
PF-P99-T16-EXP-RESPONSIBILITY-2022
|
CSV | Parquet | 15,513 |
| 2021 |
PF-P99-T16-EXP-RESPONSIBILITY-2021
|
CSV | Parquet | 14,527 |
| 2020 |
PF-P99-T16-EXP-RESPONSIBILITY-2020
|
CSV | Parquet | 14,169 |
| 2019 |
PF-P99-T16-EXP-RESPONSIBILITY-2019
|
CSV | Parquet | 8,647 |
| 2018 |
PF-P99-T16-EXP-RESPONSIBILITY-2018
|
CSV | Parquet | 6,633 |
| 2017 |
PF-P99-T16-EXP-RESPONSIBILITY-2017
|
CSV | Parquet | 6,498 |
| 2016 |
PF-P99-T16-EXP-RESPONSIBILITY-2016
|
CSV | Parquet | 6,012 |
| 2015 |
PF-P99-T16-EXP-RESPONSIBILITY-2015
|
CSV | Parquet | 5,663 |
| 2014 |
PF-P99-T16-EXP-RESPONSIBILITY-2014
|
CSV | Parquet | 5,477 |
| 2013 |
PF-P99-T16-EXP-RESPONSIBILITY-2013
|
CSV | Parquet | 4,843 |
| 2012 |
PF-P99-T16-EXP-RESPONSIBILITY-2012
|
CSV | Parquet | 4,592 |
| 2011 |
PF-P99-T16-EXP-RESPONSIBILITY-2011
|
CSV | Parquet | 5,499 |
| 2010 |
PF-P99-T16-EXP-RESPONSIBILITY-2010
|
CSV | Parquet | 3,703 |
| 2009 |
PF-P99-T16-EXP-RESPONSIBILITY-2009
|
CSV | Parquet | 1,562 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T16-EXP-RESPONSIBILITY",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T20-SALE-OTH-ASSET
1:M many rows per filing · tax years 2009–2025 · 685,233 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T20-SALE-OTH-ASSET-2025
|
CSV | Parquet | 16,850 |
| 2024 |
PF-P99-T20-SALE-OTH-ASSET-2024
|
CSV | Parquet | 39,453 |
| 2023 |
PF-P99-T20-SALE-OTH-ASSET-2023
|
CSV | Parquet | 42,583 |
| 2022 |
PF-P99-T20-SALE-OTH-ASSET-2022
|
CSV | Parquet | 46,727 |
| 2021 |
PF-P99-T20-SALE-OTH-ASSET-2021
|
CSV | Parquet | 42,168 |
| 2020 |
PF-P99-T20-SALE-OTH-ASSET-2020
|
CSV | Parquet | 48,559 |
| 2019 |
PF-P99-T20-SALE-OTH-ASSET-2019
|
CSV | Parquet | 44,964 |
| 2018 |
PF-P99-T20-SALE-OTH-ASSET-2018
|
CSV | Parquet | 46,930 |
| 2017 |
PF-P99-T20-SALE-OTH-ASSET-2017
|
CSV | Parquet | 43,647 |
| 2016 |
PF-P99-T20-SALE-OTH-ASSET-2016
|
CSV | Parquet | 53,631 |
| 2015 |
PF-P99-T20-SALE-OTH-ASSET-2015
|
CSV | Parquet | 54,723 |
| 2014 |
PF-P99-T20-SALE-OTH-ASSET-2014
|
CSV | Parquet | 51,968 |
| 2013 |
PF-P99-T20-SALE-OTH-ASSET-2013
|
CSV | Parquet | 47,701 |
| 2012 |
PF-P99-T20-SALE-OTH-ASSET-2012
|
CSV | Parquet | 42,587 |
| 2011 |
PF-P99-T20-SALE-OTH-ASSET-2011
|
CSV | Parquet | 34,258 |
| 2010 |
PF-P99-T20-SALE-OTH-ASSET-2010
|
CSV | Parquet | 24,860 |
| 2009 |
PF-P99-T20-SALE-OTH-ASSET-2009
|
CSV | Parquet | 3,624 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T20-SALE-OTH-ASSET",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T22-SUPPLEMENTAL-INFO
1:M many rows per filing · tax years 2009–2025 · 83,698 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T22-SUPPLEMENTAL-INFO-2025
|
CSV | Parquet | 3,877 |
| 2024 |
PF-P99-T22-SUPPLEMENTAL-INFO-2024
|
CSV | Parquet | 7,479 |
| 2023 |
PF-P99-T22-SUPPLEMENTAL-INFO-2023
|
CSV | Parquet | 7,499 |
| 2022 |
PF-P99-T22-SUPPLEMENTAL-INFO-2022
|
CSV | Parquet | 7,722 |
| 2021 |
PF-P99-T22-SUPPLEMENTAL-INFO-2021
|
CSV | Parquet | 8,321 |
| 2020 |
PF-P99-T22-SUPPLEMENTAL-INFO-2020
|
CSV | Parquet | 8,328 |
| 2019 |
PF-P99-T22-SUPPLEMENTAL-INFO-2019
|
CSV | Parquet | 9,204 |
| 2018 |
PF-P99-T22-SUPPLEMENTAL-INFO-2018
|
CSV | Parquet | 7,369 |
| 2017 |
PF-P99-T22-SUPPLEMENTAL-INFO-2017
|
CSV | Parquet | 4,750 |
| 2016 |
PF-P99-T22-SUPPLEMENTAL-INFO-2016
|
CSV | Parquet | 4,881 |
| 2015 |
PF-P99-T22-SUPPLEMENTAL-INFO-2015
|
CSV | Parquet | 4,309 |
| 2014 |
PF-P99-T22-SUPPLEMENTAL-INFO-2014
|
CSV | Parquet | 3,973 |
| 2013 |
PF-P99-T22-SUPPLEMENTAL-INFO-2013
|
CSV | Parquet | 1,672 |
| 2012 |
PF-P99-T22-SUPPLEMENTAL-INFO-2012
|
CSV | Parquet | 1,682 |
| 2011 |
PF-P99-T22-SUPPLEMENTAL-INFO-2011
|
CSV | Parquet | 1,419 |
| 2010 |
PF-P99-T22-SUPPLEMENTAL-INFO-2010
|
CSV | Parquet | 1,073 |
| 2009 |
PF-P99-T22-SUPPLEMENTAL-INFO-2009
|
CSV | Parquet | 140 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T22-SUPPLEMENTAL-INFO",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T23-INVEST-CORP-BOND
1:M many rows per filing · tax years 2009–2025 · 1,619,155 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T23-INVEST-CORP-BOND-2025
|
CSV | Parquet | 88,573 |
| 2024 |
PF-P99-T23-INVEST-CORP-BOND-2024
|
CSV | Parquet | 197,382 |
| 2023 |
PF-P99-T23-INVEST-CORP-BOND-2023
|
CSV | Parquet | 184,433 |
| 2022 |
PF-P99-T23-INVEST-CORP-BOND-2022
|
CSV | Parquet | 176,516 |
| 2021 |
PF-P99-T23-INVEST-CORP-BOND-2021
|
CSV | Parquet | 178,673 |
| 2020 |
PF-P99-T23-INVEST-CORP-BOND-2020
|
CSV | Parquet | 172,938 |
| 2019 |
PF-P99-T23-INVEST-CORP-BOND-2019
|
CSV | Parquet | 111,116 |
| 2018 |
PF-P99-T23-INVEST-CORP-BOND-2018
|
CSV | Parquet | 97,778 |
| 2017 |
PF-P99-T23-INVEST-CORP-BOND-2017
|
CSV | Parquet | 81,448 |
| 2016 |
PF-P99-T23-INVEST-CORP-BOND-2016
|
CSV | Parquet | 60,342 |
| 2015 |
PF-P99-T23-INVEST-CORP-BOND-2015
|
CSV | Parquet | 52,136 |
| 2014 |
PF-P99-T23-INVEST-CORP-BOND-2014
|
CSV | Parquet | 48,146 |
| 2013 |
PF-P99-T23-INVEST-CORP-BOND-2013
|
CSV | Parquet | 44,021 |
| 2012 |
PF-P99-T23-INVEST-CORP-BOND-2012
|
CSV | Parquet | 43,005 |
| 2011 |
PF-P99-T23-INVEST-CORP-BOND-2011
|
CSV | Parquet | 44,371 |
| 2010 |
PF-P99-T23-INVEST-CORP-BOND-2010
|
CSV | Parquet | 33,438 |
| 2009 |
PF-P99-T23-INVEST-CORP-BOND-2009
|
CSV | Parquet | 4,839 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T23-INVEST-CORP-BOND",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T24-INVEST-CORP-STOCK
1:M many rows per filing · tax years 2009–2025 · 10,313,634 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T24-INVEST-CORP-STOCK-2025
|
CSV | Parquet | 594,604 |
| 2024 |
PF-P99-T24-INVEST-CORP-STOCK-2024
|
CSV | Parquet | 1,196,031 |
| 2023 |
PF-P99-T24-INVEST-CORP-STOCK-2023
|
CSV | Parquet | 1,174,236 |
| 2022 |
PF-P99-T24-INVEST-CORP-STOCK-2022
|
CSV | Parquet | 1,210,191 |
| 2021 |
PF-P99-T24-INVEST-CORP-STOCK-2021
|
CSV | Parquet | 1,186,745 |
| 2020 |
PF-P99-T24-INVEST-CORP-STOCK-2020
|
CSV | Parquet | 1,059,120 |
| 2019 |
PF-P99-T24-INVEST-CORP-STOCK-2019
|
CSV | Parquet | 679,804 |
| 2018 |
PF-P99-T24-INVEST-CORP-STOCK-2018
|
CSV | Parquet | 591,961 |
| 2017 |
PF-P99-T24-INVEST-CORP-STOCK-2017
|
CSV | Parquet | 485,555 |
| 2016 |
PF-P99-T24-INVEST-CORP-STOCK-2016
|
CSV | Parquet | 432,993 |
| 2015 |
PF-P99-T24-INVEST-CORP-STOCK-2015
|
CSV | Parquet | 388,575 |
| 2014 |
PF-P99-T24-INVEST-CORP-STOCK-2014
|
CSV | Parquet | 355,949 |
| 2013 |
PF-P99-T24-INVEST-CORP-STOCK-2013
|
CSV | Parquet | 277,869 |
| 2012 |
PF-P99-T24-INVEST-CORP-STOCK-2012
|
CSV | Parquet | 244,243 |
| 2011 |
PF-P99-T24-INVEST-CORP-STOCK-2011
|
CSV | Parquet | 232,863 |
| 2010 |
PF-P99-T24-INVEST-CORP-STOCK-2010
|
CSV | Parquet | 178,181 |
| 2009 |
PF-P99-T24-INVEST-CORP-STOCK-2009
|
CSV | Parquet | 24,714 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T24-INVEST-CORP-STOCK",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T25-INVEST-GOVT-SEC
1:M many rows per filing · tax years 2009–2025 · 89,010 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T25-INVEST-GOVT-SEC-2025
|
CSV | Parquet | 4,681 |
| 2024 |
PF-P99-T25-INVEST-GOVT-SEC-2024
|
CSV | Parquet | 9,850 |
| 2023 |
PF-P99-T25-INVEST-GOVT-SEC-2023
|
CSV | Parquet | 10,268 |
| 2022 |
PF-P99-T25-INVEST-GOVT-SEC-2022
|
CSV | Parquet | 9,388 |
| 2021 |
PF-P99-T25-INVEST-GOVT-SEC-2021
|
CSV | Parquet | 7,105 |
| 2020 |
PF-P99-T25-INVEST-GOVT-SEC-2020
|
CSV | Parquet | 7,192 |
| 2019 |
PF-P99-T25-INVEST-GOVT-SEC-2019
|
CSV | Parquet | 5,638 |
| 2018 |
PF-P99-T25-INVEST-GOVT-SEC-2018
|
CSV | Parquet | 5,094 |
| 2017 |
PF-P99-T25-INVEST-GOVT-SEC-2017
|
CSV | Parquet | 4,467 |
| 2016 |
PF-P99-T25-INVEST-GOVT-SEC-2016
|
CSV | Parquet | 4,290 |
| 2015 |
PF-P99-T25-INVEST-GOVT-SEC-2015
|
CSV | Parquet | 4,000 |
| 2014 |
PF-P99-T25-INVEST-GOVT-SEC-2014
|
CSV | Parquet | 3,901 |
| 2013 |
PF-P99-T25-INVEST-GOVT-SEC-2013
|
CSV | Parquet | 3,750 |
| 2012 |
PF-P99-T25-INVEST-GOVT-SEC-2012
|
CSV | Parquet | 3,394 |
| 2011 |
PF-P99-T25-INVEST-GOVT-SEC-2011
|
CSV | Parquet | 3,187 |
| 2010 |
PF-P99-T25-INVEST-GOVT-SEC-2010
|
CSV | Parquet | 2,516 |
| 2009 |
PF-P99-T25-INVEST-GOVT-SEC-2009
|
CSV | Parquet | 289 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T25-INVEST-GOVT-SEC",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T26-INVEST-LAND
1:M many rows per filing · tax years 2009–2025 · 108,039 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T26-INVEST-LAND-2025
|
CSV | Parquet | 3,344 |
| 2024 |
PF-P99-T26-INVEST-LAND-2024
|
CSV | Parquet | 11,960 |
| 2023 |
PF-P99-T26-INVEST-LAND-2023
|
CSV | Parquet | 12,681 |
| 2022 |
PF-P99-T26-INVEST-LAND-2022
|
CSV | Parquet | 11,727 |
| 2021 |
PF-P99-T26-INVEST-LAND-2021
|
CSV | Parquet | 10,792 |
| 2020 |
PF-P99-T26-INVEST-LAND-2020
|
CSV | Parquet | 9,189 |
| 2019 |
PF-P99-T26-INVEST-LAND-2019
|
CSV | Parquet | 7,391 |
| 2018 |
PF-P99-T26-INVEST-LAND-2018
|
CSV | Parquet | 6,739 |
| 2017 |
PF-P99-T26-INVEST-LAND-2017
|
CSV | Parquet | 6,040 |
| 2016 |
PF-P99-T26-INVEST-LAND-2016
|
CSV | Parquet | 5,916 |
| 2015 |
PF-P99-T26-INVEST-LAND-2015
|
CSV | Parquet | 5,996 |
| 2014 |
PF-P99-T26-INVEST-LAND-2014
|
CSV | Parquet | 5,269 |
| 2013 |
PF-P99-T26-INVEST-LAND-2013
|
CSV | Parquet | 4,332 |
| 2012 |
PF-P99-T26-INVEST-LAND-2012
|
CSV | Parquet | 2,659 |
| 2011 |
PF-P99-T26-INVEST-LAND-2011
|
CSV | Parquet | 2,031 |
| 2010 |
PF-P99-T26-INVEST-LAND-2010
|
CSV | Parquet | 1,506 |
| 2009 |
PF-P99-T26-INVEST-LAND-2009
|
CSV | Parquet | 467 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T26-INVEST-LAND",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T27-INVEST-OTH
1:M many rows per filing · tax years 2009–2025 · 3,854,002 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T27-INVEST-OTH-2025
|
CSV | Parquet | 257,421 |
| 2024 |
PF-P99-T27-INVEST-OTH-2024
|
CSV | Parquet | 465,403 |
| 2023 |
PF-P99-T27-INVEST-OTH-2023
|
CSV | Parquet | 481,117 |
| 2022 |
PF-P99-T27-INVEST-OTH-2022
|
CSV | Parquet | 466,726 |
| 2021 |
PF-P99-T27-INVEST-OTH-2021
|
CSV | Parquet | 469,788 |
| 2020 |
PF-P99-T27-INVEST-OTH-2020
|
CSV | Parquet | 492,477 |
| 2019 |
PF-P99-T27-INVEST-OTH-2019
|
CSV | Parquet | 309,393 |
| 2018 |
PF-P99-T27-INVEST-OTH-2018
|
CSV | Parquet | 239,610 |
| 2017 |
PF-P99-T27-INVEST-OTH-2017
|
CSV | Parquet | 125,222 |
| 2016 |
PF-P99-T27-INVEST-OTH-2016
|
CSV | Parquet | 106,518 |
| 2015 |
PF-P99-T27-INVEST-OTH-2015
|
CSV | Parquet | 98,271 |
| 2014 |
PF-P99-T27-INVEST-OTH-2014
|
CSV | Parquet | 89,974 |
| 2013 |
PF-P99-T27-INVEST-OTH-2013
|
CSV | Parquet | 79,770 |
| 2012 |
PF-P99-T27-INVEST-OTH-2012
|
CSV | Parquet | 70,095 |
| 2011 |
PF-P99-T27-INVEST-OTH-2011
|
CSV | Parquet | 57,932 |
| 2010 |
PF-P99-T27-INVEST-OTH-2010
|
CSV | Parquet | 40,019 |
| 2009 |
PF-P99-T27-INVEST-OTH-2009
|
CSV | Parquet | 4,266 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T27-INVEST-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T28-LAND-ETC
1:M many rows per filing · tax years 2009–2025 · 669,386 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T28-LAND-ETC-2025
|
CSV | Parquet | 17,025 |
| 2024 |
PF-P99-T28-LAND-ETC-2024
|
CSV | Parquet | 67,007 |
| 2023 |
PF-P99-T28-LAND-ETC-2023
|
CSV | Parquet | 68,599 |
| 2022 |
PF-P99-T28-LAND-ETC-2022
|
CSV | Parquet | 66,225 |
| 2021 |
PF-P99-T28-LAND-ETC-2021
|
CSV | Parquet | 68,590 |
| 2020 |
PF-P99-T28-LAND-ETC-2020
|
CSV | Parquet | 63,617 |
| 2019 |
PF-P99-T28-LAND-ETC-2019
|
CSV | Parquet | 46,121 |
| 2018 |
PF-P99-T28-LAND-ETC-2018
|
CSV | Parquet | 41,756 |
| 2017 |
PF-P99-T28-LAND-ETC-2017
|
CSV | Parquet | 40,239 |
| 2016 |
PF-P99-T28-LAND-ETC-2016
|
CSV | Parquet | 36,297 |
| 2015 |
PF-P99-T28-LAND-ETC-2015
|
CSV | Parquet | 34,566 |
| 2014 |
PF-P99-T28-LAND-ETC-2014
|
CSV | Parquet | 30,600 |
| 2013 |
PF-P99-T28-LAND-ETC-2013
|
CSV | Parquet | 27,543 |
| 2012 |
PF-P99-T28-LAND-ETC-2012
|
CSV | Parquet | 23,100 |
| 2011 |
PF-P99-T28-LAND-ETC-2011
|
CSV | Parquet | 19,911 |
| 2010 |
PF-P99-T28-LAND-ETC-2010
|
CSV | Parquet | 15,494 |
| 2009 |
PF-P99-T28-LAND-ETC-2009
|
CSV | Parquet | 2,696 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T28-LAND-ETC",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T29-LEGAL-FEES
1:M many rows per filing · tax years 2009–2025 · 206,073 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T29-LEGAL-FEES-2025
|
CSV | Parquet | 9,680 |
| 2024 |
PF-P99-T29-LEGAL-FEES-2024
|
CSV | Parquet | 20,502 |
| 2023 |
PF-P99-T29-LEGAL-FEES-2023
|
CSV | Parquet | 21,195 |
| 2022 |
PF-P99-T29-LEGAL-FEES-2022
|
CSV | Parquet | 20,621 |
| 2021 |
PF-P99-T29-LEGAL-FEES-2021
|
CSV | Parquet | 19,983 |
| 2020 |
PF-P99-T29-LEGAL-FEES-2020
|
CSV | Parquet | 19,275 |
| 2019 |
PF-P99-T29-LEGAL-FEES-2019
|
CSV | Parquet | 15,178 |
| 2018 |
PF-P99-T29-LEGAL-FEES-2018
|
CSV | Parquet | 13,442 |
| 2017 |
PF-P99-T29-LEGAL-FEES-2017
|
CSV | Parquet | 11,764 |
| 2016 |
PF-P99-T29-LEGAL-FEES-2016
|
CSV | Parquet | 10,872 |
| 2015 |
PF-P99-T29-LEGAL-FEES-2015
|
CSV | Parquet | 10,378 |
| 2014 |
PF-P99-T29-LEGAL-FEES-2014
|
CSV | Parquet | 9,000 |
| 2013 |
PF-P99-T29-LEGAL-FEES-2013
|
CSV | Parquet | 7,664 |
| 2012 |
PF-P99-T29-LEGAL-FEES-2012
|
CSV | Parquet | 6,417 |
| 2011 |
PF-P99-T29-LEGAL-FEES-2011
|
CSV | Parquet | 5,487 |
| 2010 |
PF-P99-T29-LEGAL-FEES-2010
|
CSV | Parquet | 4,149 |
| 2009 |
PF-P99-T29-LEGAL-FEES-2009
|
CSV | Parquet | 466 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T29-LEGAL-FEES",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T31-LOAN-OFF
1:M many rows per filing · tax years 2009–2025 · 8,517 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T31-LOAN-OFF-2025
|
CSV | Parquet | 302 |
| 2024 |
PF-P99-T31-LOAN-OFF-2024
|
CSV | Parquet | 843 |
| 2023 |
PF-P99-T31-LOAN-OFF-2023
|
CSV | Parquet | 855 |
| 2022 |
PF-P99-T31-LOAN-OFF-2022
|
CSV | Parquet | 824 |
| 2021 |
PF-P99-T31-LOAN-OFF-2021
|
CSV | Parquet | 801 |
| 2020 |
PF-P99-T31-LOAN-OFF-2020
|
CSV | Parquet | 744 |
| 2019 |
PF-P99-T31-LOAN-OFF-2019
|
CSV | Parquet | 576 |
| 2018 |
PF-P99-T31-LOAN-OFF-2018
|
CSV | Parquet | 566 |
| 2017 |
PF-P99-T31-LOAN-OFF-2017
|
CSV | Parquet | 544 |
| 2016 |
PF-P99-T31-LOAN-OFF-2016
|
CSV | Parquet | 533 |
| 2015 |
PF-P99-T31-LOAN-OFF-2015
|
CSV | Parquet | 489 |
| 2014 |
PF-P99-T31-LOAN-OFF-2014
|
CSV | Parquet | 382 |
| 2013 |
PF-P99-T31-LOAN-OFF-2013
|
CSV | Parquet | 334 |
| 2012 |
PF-P99-T31-LOAN-OFF-2012
|
CSV | Parquet | 284 |
| 2011 |
PF-P99-T31-LOAN-OFF-2011
|
CSV | Parquet | 225 |
| 2010 |
PF-P99-T31-LOAN-OFF-2010
|
CSV | Parquet | 187 |
| 2009 |
PF-P99-T31-LOAN-OFF-2009
|
CSV | Parquet | 28 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T31-LOAN-OFF",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T32-MTG-NOTE
1:M many rows per filing · tax years 2009–2025 · 10,558 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T32-MTG-NOTE-2025
|
CSV | Parquet | 227 |
| 2024 |
PF-P99-T32-MTG-NOTE-2024
|
CSV | Parquet | 837 |
| 2023 |
PF-P99-T32-MTG-NOTE-2023
|
CSV | Parquet | 950 |
| 2022 |
PF-P99-T32-MTG-NOTE-2022
|
CSV | Parquet | 973 |
| 2021 |
PF-P99-T32-MTG-NOTE-2021
|
CSV | Parquet | 1,033 |
| 2020 |
PF-P99-T32-MTG-NOTE-2020
|
CSV | Parquet | 1,121 |
| 2019 |
PF-P99-T32-MTG-NOTE-2019
|
CSV | Parquet | 824 |
| 2018 |
PF-P99-T32-MTG-NOTE-2018
|
CSV | Parquet | 711 |
| 2017 |
PF-P99-T32-MTG-NOTE-2017
|
CSV | Parquet | 732 |
| 2016 |
PF-P99-T32-MTG-NOTE-2016
|
CSV | Parquet | 659 |
| 2015 |
PF-P99-T32-MTG-NOTE-2015
|
CSV | Parquet | 584 |
| 2014 |
PF-P99-T32-MTG-NOTE-2014
|
CSV | Parquet | 519 |
| 2013 |
PF-P99-T32-MTG-NOTE-2013
|
CSV | Parquet | 458 |
| 2012 |
PF-P99-T32-MTG-NOTE-2012
|
CSV | Parquet | 338 |
| 2011 |
PF-P99-T32-MTG-NOTE-2011
|
CSV | Parquet | 322 |
| 2010 |
PF-P99-T32-MTG-NOTE-2010
|
CSV | Parquet | 228 |
| 2009 |
PF-P99-T32-MTG-NOTE-2009
|
CSV | Parquet | 42 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T32-MTG-NOTE",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T33-ASSET-OTH
1:M many rows per filing · tax years 2009–2025 · 387,944 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T33-ASSET-OTH-2025
|
CSV | Parquet | 14,720 |
| 2024 |
PF-P99-T33-ASSET-OTH-2024
|
CSV | Parquet | 42,492 |
| 2023 |
PF-P99-T33-ASSET-OTH-2023
|
CSV | Parquet | 43,048 |
| 2022 |
PF-P99-T33-ASSET-OTH-2022
|
CSV | Parquet | 41,475 |
| 2021 |
PF-P99-T33-ASSET-OTH-2021
|
CSV | Parquet | 39,787 |
| 2020 |
PF-P99-T33-ASSET-OTH-2020
|
CSV | Parquet | 38,199 |
| 2019 |
PF-P99-T33-ASSET-OTH-2019
|
CSV | Parquet | 29,651 |
| 2018 |
PF-P99-T33-ASSET-OTH-2018
|
CSV | Parquet | 24,148 |
| 2017 |
PF-P99-T33-ASSET-OTH-2017
|
CSV | Parquet | 21,221 |
| 2016 |
PF-P99-T33-ASSET-OTH-2016
|
CSV | Parquet | 18,087 |
| 2015 |
PF-P99-T33-ASSET-OTH-2015
|
CSV | Parquet | 16,844 |
| 2014 |
PF-P99-T33-ASSET-OTH-2014
|
CSV | Parquet | 14,410 |
| 2013 |
PF-P99-T33-ASSET-OTH-2013
|
CSV | Parquet | 14,278 |
| 2012 |
PF-P99-T33-ASSET-OTH-2012
|
CSV | Parquet | 12,294 |
| 2011 |
PF-P99-T33-ASSET-OTH-2011
|
CSV | Parquet | 9,847 |
| 2010 |
PF-P99-T33-ASSET-OTH-2010
|
CSV | Parquet | 6,670 |
| 2009 |
PF-P99-T33-ASSET-OTH-2009
|
CSV | Parquet | 773 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T33-ASSET-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T35-DECREASE-OTH
1:M many rows per filing · tax years 2009–2025 · 498,290 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T35-DECREASE-OTH-2025
|
CSV | Parquet | 30,778 |
| 2024 |
PF-P99-T35-DECREASE-OTH-2024
|
CSV | Parquet | 54,345 |
| 2023 |
PF-P99-T35-DECREASE-OTH-2023
|
CSV | Parquet | 53,988 |
| 2022 |
PF-P99-T35-DECREASE-OTH-2022
|
CSV | Parquet | 59,392 |
| 2021 |
PF-P99-T35-DECREASE-OTH-2021
|
CSV | Parquet | 51,030 |
| 2020 |
PF-P99-T35-DECREASE-OTH-2020
|
CSV | Parquet | 47,525 |
| 2019 |
PF-P99-T35-DECREASE-OTH-2019
|
CSV | Parquet | 36,295 |
| 2018 |
PF-P99-T35-DECREASE-OTH-2018
|
CSV | Parquet | 38,237 |
| 2017 |
PF-P99-T35-DECREASE-OTH-2017
|
CSV | Parquet | 26,829 |
| 2016 |
PF-P99-T35-DECREASE-OTH-2016
|
CSV | Parquet | 22,596 |
| 2015 |
PF-P99-T35-DECREASE-OTH-2015
|
CSV | Parquet | 22,787 |
| 2014 |
PF-P99-T35-DECREASE-OTH-2014
|
CSV | Parquet | 19,790 |
| 2013 |
PF-P99-T35-DECREASE-OTH-2013
|
CSV | Parquet | 10,266 |
| 2012 |
PF-P99-T35-DECREASE-OTH-2012
|
CSV | Parquet | 8,579 |
| 2011 |
PF-P99-T35-DECREASE-OTH-2011
|
CSV | Parquet | 9,603 |
| 2010 |
PF-P99-T35-DECREASE-OTH-2010
|
CSV | Parquet | 5,735 |
| 2009 |
PF-P99-T35-DECREASE-OTH-2009
|
CSV | Parquet | 515 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T35-DECREASE-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T36-EXP-OTH
1:M many rows per filing · tax years 2009–2025 · 2,987,395 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T36-EXP-OTH-2025
|
CSV | Parquet | 132,892 |
| 2024 |
PF-P99-T36-EXP-OTH-2024
|
CSV | Parquet | 309,816 |
| 2023 |
PF-P99-T36-EXP-OTH-2023
|
CSV | Parquet | 307,837 |
| 2022 |
PF-P99-T36-EXP-OTH-2022
|
CSV | Parquet | 295,380 |
| 2021 |
PF-P99-T36-EXP-OTH-2021
|
CSV | Parquet | 279,900 |
| 2020 |
PF-P99-T36-EXP-OTH-2020
|
CSV | Parquet | 267,492 |
| 2019 |
PF-P99-T36-EXP-OTH-2019
|
CSV | Parquet | 217,231 |
| 2018 |
PF-P99-T36-EXP-OTH-2018
|
CSV | Parquet | 197,828 |
| 2017 |
PF-P99-T36-EXP-OTH-2017
|
CSV | Parquet | 175,967 |
| 2016 |
PF-P99-T36-EXP-OTH-2016
|
CSV | Parquet | 161,823 |
| 2015 |
PF-P99-T36-EXP-OTH-2015
|
CSV | Parquet | 152,614 |
| 2014 |
PF-P99-T36-EXP-OTH-2014
|
CSV | Parquet | 133,462 |
| 2013 |
PF-P99-T36-EXP-OTH-2013
|
CSV | Parquet | 113,144 |
| 2012 |
PF-P99-T36-EXP-OTH-2012
|
CSV | Parquet | 97,036 |
| 2011 |
PF-P99-T36-EXP-OTH-2011
|
CSV | Parquet | 80,913 |
| 2010 |
PF-P99-T36-EXP-OTH-2010
|
CSV | Parquet | 57,503 |
| 2009 |
PF-P99-T36-EXP-OTH-2009
|
CSV | Parquet | 6,557 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T36-EXP-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T37-INCOME-OTH
1:M many rows per filing · tax years 2009–2025 · 631,407 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T37-INCOME-OTH-2025
|
CSV | Parquet | 18,633 |
| 2024 |
PF-P99-T37-INCOME-OTH-2024
|
CSV | Parquet | 61,299 |
| 2023 |
PF-P99-T37-INCOME-OTH-2023
|
CSV | Parquet | 69,663 |
| 2022 |
PF-P99-T37-INCOME-OTH-2022
|
CSV | Parquet | 60,138 |
| 2021 |
PF-P99-T37-INCOME-OTH-2021
|
CSV | Parquet | 61,082 |
| 2020 |
PF-P99-T37-INCOME-OTH-2020
|
CSV | Parquet | 58,464 |
| 2019 |
PF-P99-T37-INCOME-OTH-2019
|
CSV | Parquet | 49,512 |
| 2018 |
PF-P99-T37-INCOME-OTH-2018
|
CSV | Parquet | 40,776 |
| 2017 |
PF-P99-T37-INCOME-OTH-2017
|
CSV | Parquet | 40,027 |
| 2016 |
PF-P99-T37-INCOME-OTH-2016
|
CSV | Parquet | 35,904 |
| 2015 |
PF-P99-T37-INCOME-OTH-2015
|
CSV | Parquet | 33,040 |
| 2014 |
PF-P99-T37-INCOME-OTH-2014
|
CSV | Parquet | 30,021 |
| 2013 |
PF-P99-T37-INCOME-OTH-2013
|
CSV | Parquet | 24,004 |
| 2012 |
PF-P99-T37-INCOME-OTH-2012
|
CSV | Parquet | 19,668 |
| 2011 |
PF-P99-T37-INCOME-OTH-2011
|
CSV | Parquet | 15,668 |
| 2010 |
PF-P99-T37-INCOME-OTH-2010
|
CSV | Parquet | 11,907 |
| 2009 |
PF-P99-T37-INCOME-OTH-2009
|
CSV | Parquet | 1,601 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T37-INCOME-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T38-INCREASE-OTH
1:M many rows per filing · tax years 2009–2025 · 418,957 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T38-INCREASE-OTH-2025
|
CSV | Parquet | 29,866 |
| 2024 |
PF-P99-T38-INCREASE-OTH-2024
|
CSV | Parquet | 47,748 |
| 2023 |
PF-P99-T38-INCREASE-OTH-2023
|
CSV | Parquet | 47,161 |
| 2022 |
PF-P99-T38-INCREASE-OTH-2022
|
CSV | Parquet | 40,793 |
| 2021 |
PF-P99-T38-INCREASE-OTH-2021
|
CSV | Parquet | 45,210 |
| 2020 |
PF-P99-T38-INCREASE-OTH-2020
|
CSV | Parquet | 43,694 |
| 2019 |
PF-P99-T38-INCREASE-OTH-2019
|
CSV | Parquet | 30,682 |
| 2018 |
PF-P99-T38-INCREASE-OTH-2018
|
CSV | Parquet | 25,969 |
| 2017 |
PF-P99-T38-INCREASE-OTH-2017
|
CSV | Parquet | 18,929 |
| 2016 |
PF-P99-T38-INCREASE-OTH-2016
|
CSV | Parquet | 19,658 |
| 2015 |
PF-P99-T38-INCREASE-OTH-2015
|
CSV | Parquet | 16,724 |
| 2014 |
PF-P99-T38-INCREASE-OTH-2014
|
CSV | Parquet | 15,836 |
| 2013 |
PF-P99-T38-INCREASE-OTH-2013
|
CSV | Parquet | 11,309 |
| 2012 |
PF-P99-T38-INCREASE-OTH-2012
|
CSV | Parquet | 9,141 |
| 2011 |
PF-P99-T38-INCREASE-OTH-2011
|
CSV | Parquet | 8,286 |
| 2010 |
PF-P99-T38-INCREASE-OTH-2010
|
CSV | Parquet | 7,252 |
| 2009 |
PF-P99-T38-INCREASE-OTH-2009
|
CSV | Parquet | 699 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T38-INCREASE-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T39-LIAB-OTH
1:M many rows per filing · tax years 2009–2025 · 166,703 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T39-LIAB-OTH-2025
|
CSV | Parquet | 5,364 |
| 2024 |
PF-P99-T39-LIAB-OTH-2024
|
CSV | Parquet | 17,446 |
| 2023 |
PF-P99-T39-LIAB-OTH-2023
|
CSV | Parquet | 17,500 |
| 2022 |
PF-P99-T39-LIAB-OTH-2022
|
CSV | Parquet | 17,402 |
| 2021 |
PF-P99-T39-LIAB-OTH-2021
|
CSV | Parquet | 16,787 |
| 2020 |
PF-P99-T39-LIAB-OTH-2020
|
CSV | Parquet | 15,683 |
| 2019 |
PF-P99-T39-LIAB-OTH-2019
|
CSV | Parquet | 11,497 |
| 2018 |
PF-P99-T39-LIAB-OTH-2018
|
CSV | Parquet | 10,474 |
| 2017 |
PF-P99-T39-LIAB-OTH-2017
|
CSV | Parquet | 9,596 |
| 2016 |
PF-P99-T39-LIAB-OTH-2016
|
CSV | Parquet | 8,614 |
| 2015 |
PF-P99-T39-LIAB-OTH-2015
|
CSV | Parquet | 8,253 |
| 2014 |
PF-P99-T39-LIAB-OTH-2014
|
CSV | Parquet | 7,759 |
| 2013 |
PF-P99-T39-LIAB-OTH-2013
|
CSV | Parquet | 6,688 |
| 2012 |
PF-P99-T39-LIAB-OTH-2012
|
CSV | Parquet | 5,533 |
| 2011 |
PF-P99-T39-LIAB-OTH-2011
|
CSV | Parquet | 4,504 |
| 2010 |
PF-P99-T39-LIAB-OTH-2010
|
CSV | Parquet | 3,166 |
| 2009 |
PF-P99-T39-LIAB-OTH-2009
|
CSV | Parquet | 437 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T39-LIAB-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T40-NOTE-LOAN-OTH-LONG
1:M many rows per filing · tax years 2009–2025 · 19,746 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2025
|
CSV | Parquet | 519 |
| 2024 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2024
|
CSV | Parquet | 1,978 |
| 2023 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2023
|
CSV | Parquet | 2,107 |
| 2022 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2022
|
CSV | Parquet | 1,980 |
| 2021 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2021
|
CSV | Parquet | 2,014 |
| 2020 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2020
|
CSV | Parquet | 2,112 |
| 2019 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2019
|
CSV | Parquet | 1,616 |
| 2018 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2018
|
CSV | Parquet | 1,209 |
| 2017 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2017
|
CSV | Parquet | 973 |
| 2016 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2016
|
CSV | Parquet | 947 |
| 2015 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2015
|
CSV | Parquet | 923 |
| 2014 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2014
|
CSV | Parquet | 863 |
| 2013 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2013
|
CSV | Parquet | 672 |
| 2012 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2012
|
CSV | Parquet | 633 |
| 2011 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2011
|
CSV | Parquet | 629 |
| 2010 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2010
|
CSV | Parquet | 542 |
| 2009 |
PF-P99-T40-NOTE-LOAN-OTH-LONG-2009
|
CSV | Parquet | 29 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T40-NOTE-LOAN-OTH-LONG",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T41-NOTE-LOAN-OTH-SHORT
1:M many rows per filing · tax years 2009–2025 · 14,796 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2025
|
CSV | Parquet | 439 |
| 2024 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2024
|
CSV | Parquet | 1,272 |
| 2023 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2023
|
CSV | Parquet | 1,268 |
| 2022 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2022
|
CSV | Parquet | 1,290 |
| 2021 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2021
|
CSV | Parquet | 1,360 |
| 2020 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2020
|
CSV | Parquet | 1,366 |
| 2019 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2019
|
CSV | Parquet | 1,067 |
| 2018 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2018
|
CSV | Parquet | 1,161 |
| 2017 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2017
|
CSV | Parquet | 910 |
| 2016 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2016
|
CSV | Parquet | 856 |
| 2015 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2015
|
CSV | Parquet | 826 |
| 2014 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2014
|
CSV | Parquet | 763 |
| 2013 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2013
|
CSV | Parquet | 719 |
| 2012 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2012
|
CSV | Parquet | 588 |
| 2011 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2011
|
CSV | Parquet | 505 |
| 2010 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2010
|
CSV | Parquet | 394 |
| 2009 |
PF-P99-T41-NOTE-LOAN-OTH-SHORT-2009
|
CSV | Parquet | 12 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T41-NOTE-LOAN-OTH-SHORT",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T42-PROF-FEES-OTH
1:M many rows per filing · tax years 2009–2025 · 566,781 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T42-PROF-FEES-OTH-2025
|
CSV | Parquet | 28,583 |
| 2024 |
PF-P99-T42-PROF-FEES-OTH-2024
|
CSV | Parquet | 63,124 |
| 2023 |
PF-P99-T42-PROF-FEES-OTH-2023
|
CSV | Parquet | 62,570 |
| 2022 |
PF-P99-T42-PROF-FEES-OTH-2022
|
CSV | Parquet | 60,405 |
| 2021 |
PF-P99-T42-PROF-FEES-OTH-2021
|
CSV | Parquet | 57,504 |
| 2020 |
PF-P99-T42-PROF-FEES-OTH-2020
|
CSV | Parquet | 54,758 |
| 2019 |
PF-P99-T42-PROF-FEES-OTH-2019
|
CSV | Parquet | 40,762 |
| 2018 |
PF-P99-T42-PROF-FEES-OTH-2018
|
CSV | Parquet | 34,838 |
| 2017 |
PF-P99-T42-PROF-FEES-OTH-2017
|
CSV | Parquet | 30,782 |
| 2016 |
PF-P99-T42-PROF-FEES-OTH-2016
|
CSV | Parquet | 27,631 |
| 2015 |
PF-P99-T42-PROF-FEES-OTH-2015
|
CSV | Parquet | 25,482 |
| 2014 |
PF-P99-T42-PROF-FEES-OTH-2014
|
CSV | Parquet | 22,601 |
| 2013 |
PF-P99-T42-PROF-FEES-OTH-2013
|
CSV | Parquet | 18,930 |
| 2012 |
PF-P99-T42-PROF-FEES-OTH-2012
|
CSV | Parquet | 15,735 |
| 2011 |
PF-P99-T42-PROF-FEES-OTH-2011
|
CSV | Parquet | 12,926 |
| 2010 |
PF-P99-T42-PROF-FEES-OTH-2010
|
CSV | Parquet | 9,196 |
| 2009 |
PF-P99-T42-PROF-FEES-OTH-2009
|
CSV | Parquet | 954 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T42-PROF-FEES-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T43-OFF-OTH
1:M many rows per filing · tax years 2009–2025 · 3,030 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T43-OFF-OTH-2025
|
CSV | Parquet | 102 |
| 2024 |
PF-P99-T43-OFF-OTH-2024
|
CSV | Parquet | 306 |
| 2023 |
PF-P99-T43-OFF-OTH-2023
|
CSV | Parquet | 349 |
| 2022 |
PF-P99-T43-OFF-OTH-2022
|
CSV | Parquet | 288 |
| 2021 |
PF-P99-T43-OFF-OTH-2021
|
CSV | Parquet | 259 |
| 2020 |
PF-P99-T43-OFF-OTH-2020
|
CSV | Parquet | 222 |
| 2019 |
PF-P99-T43-OFF-OTH-2019
|
CSV | Parquet | 208 |
| 2018 |
PF-P99-T43-OFF-OTH-2018
|
CSV | Parquet | 200 |
| 2017 |
PF-P99-T43-OFF-OTH-2017
|
CSV | Parquet | 200 |
| 2016 |
PF-P99-T43-OFF-OTH-2016
|
CSV | Parquet | 206 |
| 2015 |
PF-P99-T43-OFF-OTH-2015
|
CSV | Parquet | 190 |
| 2014 |
PF-P99-T43-OFF-OTH-2014
|
CSV | Parquet | 110 |
| 2013 |
PF-P99-T43-OFF-OTH-2013
|
CSV | Parquet | 99 |
| 2012 |
PF-P99-T43-OFF-OTH-2012
|
CSV | Parquet | 108 |
| 2011 |
PF-P99-T43-OFF-OTH-2011
|
CSV | Parquet | 102 |
| 2010 |
PF-P99-T43-OFF-OTH-2010
|
CSV | Parquet | 78 |
| 2009 |
PF-P99-T43-OFF-OTH-2009
|
CSV | Parquet | 3 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T43-OFF-OTH",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T46-SALE-INV
1:M many rows per filing · tax years 2009–2025 · 11,710 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T46-SALE-INV-2025
|
CSV | Parquet | 691 |
| 2024 |
PF-P99-T46-SALE-INV-2024
|
CSV | Parquet | 1,386 |
| 2023 |
PF-P99-T46-SALE-INV-2023
|
CSV | Parquet | 1,410 |
| 2022 |
PF-P99-T46-SALE-INV-2022
|
CSV | Parquet | 1,290 |
| 2021 |
PF-P99-T46-SALE-INV-2021
|
CSV | Parquet | 1,161 |
| 2020 |
PF-P99-T46-SALE-INV-2020
|
CSV | Parquet | 1,053 |
| 2019 |
PF-P99-T46-SALE-INV-2019
|
CSV | Parquet | 786 |
| 2018 |
PF-P99-T46-SALE-INV-2018
|
CSV | Parquet | 688 |
| 2017 |
PF-P99-T46-SALE-INV-2017
|
CSV | Parquet | 603 |
| 2016 |
PF-P99-T46-SALE-INV-2016
|
CSV | Parquet | 533 |
| 2015 |
PF-P99-T46-SALE-INV-2015
|
CSV | Parquet | 516 |
| 2014 |
PF-P99-T46-SALE-INV-2014
|
CSV | Parquet | 458 |
| 2013 |
PF-P99-T46-SALE-INV-2013
|
CSV | Parquet | 363 |
| 2012 |
PF-P99-T46-SALE-INV-2012
|
CSV | Parquet | 290 |
| 2011 |
PF-P99-T46-SALE-INV-2011
|
CSV | Parquet | 251 |
| 2010 |
PF-P99-T46-SALE-INV-2010
|
CSV | Parquet | 195 |
| 2009 |
PF-P99-T46-SALE-INV-2009
|
CSV | Parquet | 36 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T46-SALE-INV",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T48-CONTRIBUTOR
1:M many rows per filing · tax years 2009–2025 · 138,531 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T48-CONTRIBUTOR-2025
|
CSV | Parquet | 6,108 |
| 2024 |
PF-P99-T48-CONTRIBUTOR-2024
|
CSV | Parquet | 13,003 |
| 2023 |
PF-P99-T48-CONTRIBUTOR-2023
|
CSV | Parquet | 13,114 |
| 2022 |
PF-P99-T48-CONTRIBUTOR-2022
|
CSV | Parquet | 13,153 |
| 2021 |
PF-P99-T48-CONTRIBUTOR-2021
|
CSV | Parquet | 13,711 |
| 2020 |
PF-P99-T48-CONTRIBUTOR-2020
|
CSV | Parquet | 12,330 |
| 2019 |
PF-P99-T48-CONTRIBUTOR-2019
|
CSV | Parquet | 9,196 |
| 2018 |
PF-P99-T48-CONTRIBUTOR-2018
|
CSV | Parquet | 8,570 |
| 2017 |
PF-P99-T48-CONTRIBUTOR-2017
|
CSV | Parquet | 7,964 |
| 2016 |
PF-P99-T48-CONTRIBUTOR-2016
|
CSV | Parquet | 7,290 |
| 2015 |
PF-P99-T48-CONTRIBUTOR-2015
|
CSV | Parquet | 7,127 |
| 2014 |
PF-P99-T48-CONTRIBUTOR-2014
|
CSV | Parquet | 7,254 |
| 2013 |
PF-P99-T48-CONTRIBUTOR-2013
|
CSV | Parquet | 6,317 |
| 2012 |
PF-P99-T48-CONTRIBUTOR-2012
|
CSV | Parquet | 5,427 |
| 2011 |
PF-P99-T48-CONTRIBUTOR-2011
|
CSV | Parquet | 4,512 |
| 2010 |
PF-P99-T48-CONTRIBUTOR-2010
|
CSV | Parquet | 3,242 |
| 2009 |
PF-P99-T48-CONTRIBUTOR-2009
|
CSV | Parquet | 213 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T48-CONTRIBUTOR",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T49-TAXES
1:M many rows per filing · tax years 2009–2025 · 1,637,199 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T49-TAXES-2025
|
CSV | Parquet | 102,248 |
| 2024 |
PF-P99-T49-TAXES-2024
|
CSV | Parquet | 164,697 |
| 2023 |
PF-P99-T49-TAXES-2023
|
CSV | Parquet | 146,290 |
| 2022 |
PF-P99-T49-TAXES-2022
|
CSV | Parquet | 170,634 |
| 2021 |
PF-P99-T49-TAXES-2021
|
CSV | Parquet | 160,020 |
| 2020 |
PF-P99-T49-TAXES-2020
|
CSV | Parquet | 160,828 |
| 2019 |
PF-P99-T49-TAXES-2019
|
CSV | Parquet | 122,795 |
| 2018 |
PF-P99-T49-TAXES-2018
|
CSV | Parquet | 118,309 |
| 2017 |
PF-P99-T49-TAXES-2017
|
CSV | Parquet | 87,635 |
| 2016 |
PF-P99-T49-TAXES-2016
|
CSV | Parquet | 80,658 |
| 2015 |
PF-P99-T49-TAXES-2015
|
CSV | Parquet | 76,685 |
| 2014 |
PF-P99-T49-TAXES-2014
|
CSV | Parquet | 71,195 |
| 2013 |
PF-P99-T49-TAXES-2013
|
CSV | Parquet | 55,655 |
| 2012 |
PF-P99-T49-TAXES-2012
|
CSV | Parquet | 46,540 |
| 2011 |
PF-P99-T49-TAXES-2011
|
CSV | Parquet | 42,483 |
| 2010 |
PF-P99-T49-TAXES-2010
|
CSV | Parquet | 28,006 |
| 2009 |
PF-P99-T49-TAXES-2009
|
CSV | Parquet | 2,521 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T49-TAXES",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T51-TRANSFER-FROM-CE
1:M many rows per filing · tax years 2009–2025 · 2,884 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T51-TRANSFER-FROM-CE-2025
|
CSV | Parquet | 19 |
| 2024 |
PF-P99-T51-TRANSFER-FROM-CE-2024
|
CSV | Parquet | 380 |
| 2023 |
PF-P99-T51-TRANSFER-FROM-CE-2023
|
CSV | Parquet | 377 |
| 2022 |
PF-P99-T51-TRANSFER-FROM-CE-2022
|
CSV | Parquet | 328 |
| 2021 |
PF-P99-T51-TRANSFER-FROM-CE-2021
|
CSV | Parquet | 342 |
| 2020 |
PF-P99-T51-TRANSFER-FROM-CE-2020
|
CSV | Parquet | 271 |
| 2019 |
PF-P99-T51-TRANSFER-FROM-CE-2019
|
CSV | Parquet | 219 |
| 2018 |
PF-P99-T51-TRANSFER-FROM-CE-2018
|
CSV | Parquet | 131 |
| 2017 |
PF-P99-T51-TRANSFER-FROM-CE-2017
|
CSV | Parquet | 117 |
| 2016 |
PF-P99-T51-TRANSFER-FROM-CE-2016
|
CSV | Parquet | 113 |
| 2015 |
PF-P99-T51-TRANSFER-FROM-CE-2015
|
CSV | Parquet | 111 |
| 2014 |
PF-P99-T51-TRANSFER-FROM-CE-2014
|
CSV | Parquet | 122 |
| 2013 |
PF-P99-T51-TRANSFER-FROM-CE-2013
|
CSV | Parquet | 93 |
| 2012 |
PF-P99-T51-TRANSFER-FROM-CE-2012
|
CSV | Parquet | 94 |
| 2011 |
PF-P99-T51-TRANSFER-FROM-CE-2011
|
CSV | Parquet | 76 |
| 2010 |
PF-P99-T51-TRANSFER-FROM-CE-2010
|
CSV | Parquet | 63 |
| 2009 |
PF-P99-T51-TRANSFER-FROM-CE-2009
|
CSV | Parquet | 28 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T51-TRANSFER-FROM-CE",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T52-TRANSFER-TO-CE
1:M many rows per filing · tax years 2009–2025 · 3,299 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T52-TRANSFER-TO-CE-2025
|
CSV | Parquet | 34 |
| 2024 |
PF-P99-T52-TRANSFER-TO-CE-2024
|
CSV | Parquet | 426 |
| 2023 |
PF-P99-T52-TRANSFER-TO-CE-2023
|
CSV | Parquet | 400 |
| 2022 |
PF-P99-T52-TRANSFER-TO-CE-2022
|
CSV | Parquet | 403 |
| 2021 |
PF-P99-T52-TRANSFER-TO-CE-2021
|
CSV | Parquet | 370 |
| 2020 |
PF-P99-T52-TRANSFER-TO-CE-2020
|
CSV | Parquet | 365 |
| 2019 |
PF-P99-T52-TRANSFER-TO-CE-2019
|
CSV | Parquet | 214 |
| 2018 |
PF-P99-T52-TRANSFER-TO-CE-2018
|
CSV | Parquet | 156 |
| 2017 |
PF-P99-T52-TRANSFER-TO-CE-2017
|
CSV | Parquet | 156 |
| 2016 |
PF-P99-T52-TRANSFER-TO-CE-2016
|
CSV | Parquet | 116 |
| 2015 |
PF-P99-T52-TRANSFER-TO-CE-2015
|
CSV | Parquet | 125 |
| 2014 |
PF-P99-T52-TRANSFER-TO-CE-2014
|
CSV | Parquet | 151 |
| 2013 |
PF-P99-T52-TRANSFER-TO-CE-2013
|
CSV | Parquet | 108 |
| 2012 |
PF-P99-T52-TRANSFER-TO-CE-2012
|
CSV | Parquet | 112 |
| 2011 |
PF-P99-T52-TRANSFER-TO-CE-2011
|
CSV | Parquet | 88 |
| 2010 |
PF-P99-T52-TRANSFER-TO-CE-2010
|
CSV | Parquet | 63 |
| 2009 |
PF-P99-T52-TRANSFER-TO-CE-2009
|
CSV | Parquet | 12 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T52-TRANSFER-TO-CE",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
PF-P99-T14-COMP-EMPL
1:M many rows per filing · tax years 2009–2025 · 1,630 rows · Data dictionary
| Year | Table | CSV | Parquet | Rows |
|---|---|---|---|---|
| 2025 |
PF-P99-T14-COMP-EMPL-2025
|
CSV | Parquet | 28 |
| 2024 |
PF-P99-T14-COMP-EMPL-2024
|
CSV | Parquet | 93 |
| 2023 |
PF-P99-T14-COMP-EMPL-2023
|
CSV | Parquet | 90 |
| 2022 |
PF-P99-T14-COMP-EMPL-2022
|
CSV | Parquet | 123 |
| 2021 |
PF-P99-T14-COMP-EMPL-2021
|
CSV | Parquet | 122 |
| 2020 |
PF-P99-T14-COMP-EMPL-2020
|
CSV | Parquet | 143 |
| 2019 |
PF-P99-T14-COMP-EMPL-2019
|
CSV | Parquet | 87 |
| 2018 |
PF-P99-T14-COMP-EMPL-2018
|
CSV | Parquet | 42 |
| 2017 |
PF-P99-T14-COMP-EMPL-2017
|
CSV | Parquet | 48 |
| 2016 |
PF-P99-T14-COMP-EMPL-2016
|
CSV | Parquet | 36 |
| 2015 |
PF-P99-T14-COMP-EMPL-2015
|
CSV | Parquet | 38 |
| 2014 |
PF-P99-T14-COMP-EMPL-2014
|
CSV | Parquet | 35 |
| 2013 |
PF-P99-T14-COMP-EMPL-2013
|
CSV | Parquet | 187 |
| 2012 |
PF-P99-T14-COMP-EMPL-2012
|
CSV | Parquet | 158 |
| 2011 |
PF-P99-T14-COMP-EMPL-2011
|
CSV | Parquet | 134 |
| 2010 |
PF-P99-T14-COMP-EMPL-2010
|
CSV | Parquet | 234 |
| 2009 |
PF-P99-T14-COMP-EMPL-2009
|
CSV | Parquet | 32 |
Download with panel990
library( panel990 )
# Panel of tax years 2020-2024
# with BMF fields appended
panel <-
panelize( tables = "PF-P99-T14-COMP-EMPL",
years = 2020:2024,
source = data_source( form = "990PF" ),
include_many = TRUE,
bmf = TRUE )
df <- panel_data( panel )
Table list and row counts: public/efilepf_v3_1/COUNT-OF-ROWS-BY-TABLE-AND-FORMTYPE-EFILEPF_V3_1.CSV. Table and part names: concordance990 02de916. Page rendered 2026-10-23.