US national park visitation intelligence (monthly, by park)

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Monthly recreation-visit intelligence for all 404 National Park System reporting units, 1979-2024, from the official NPS Visitor Use Statistics data package (data.gov, U.S. federal public domain). One row per park-month with recreation/non-recreation/total visits and visitor hours, gap-safe YoY and MoM change (null when the comparison month is missing, never interpolated), each park-year's seasonal fingerprint (annual total, month share of annual, month rank, peak-month flag), a 0-100 crowding index (this month's visits ranked against the park's own full history), and an all-time calendar-month record flag. Park codes resolve to names, designations and states (multi-state parks joined); 15 retired reporting codes (e.g. JEFM = Thomas Jefferson Memorial, NACA split 1997 into NCPC/NCPE/PRPA) are kept as separate historical series, never merged. Method: pivot the long NPS file on the TRV statistic; 16 upstream negative-value rows dropped. Caveats: ~1-year reporting lag (latest 2024-12); retired codes are historical series, not current units; crowding is a within-park history gauge, not capacity. Join: park_code / state_codes + ISO date.

Source: U.S. National Park Service
Rows: 188,892
Columns: 25
Source cadence: Yearly
Last refreshed: Oct 2, 2026
Theme: economy

Column	Type	Description
park_code	string	NPS 4-letter reporting unit code (e.g. YOSE, ACAD). Stable join key; 15 retired codes are kept as historical series (unit_status='retired_code').
park_name	string	Official park unit name resolved from the reporting code.
designation	string	NPS designation (National Park, National Monument, ...).
unit_type	string	Grouped unit type from the park reference (e.g. 'National Parks', 'Historical Parks').
unit_status	string	'current' for active reporting codes, 'retired_code' for the 15 historical codes (e.g. JEFM, SEQU/KICA, NACA and its 1997 successors NCPC/NCPE/PRPA) kept as separate series, never merged.
state_codes	string	USPS state code(s) for the park from the official NPS state file, '\|' joined for multi-state parks (25 parks).
country_code	string	ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3)
date	string	First day of the reporting month; the ISO date join key. (unit: ISO date)
year	integer	Reporting year. (unit: year)
month	integer	Reporting month (1-12). (unit: month)
recreation_visits	integer	Monthly recreation visits (NPS TRV statistic), verbatim from NPS. Upstream negative data-entry rows are dropped, never kept. (unit: visits)
nonrecreation_visits	integer	Monthly non-recreation visits (through-traffic, inholding access, agency business; NPS TNRV). (unit: visits)
total_visits	integer	Monthly total visits (NPS TV), verbatim; usually equals recreation + non-recreation (1.1% of months differ slightly upstream). (unit: visits)
recreation_visitor_hours	integer	Monthly recreation visitor hours (NPS TRVH). (unit: hours)
yoy_change_pct	float	Year-over-year percent change of recreation_visits; computed only when the same month one year earlier exists (exact 12-month spacing), else null. Null when the base is zero. (unit: percent)
mom_change_pct	float	Month-over-month percent change of recreation_visits; exact 1-month spacing required, else null. (unit: percent)
annual_visits	integer	The park's calendar-year total recreation visits (sum over available months; partial years sum what exists). (unit: visits)
month_share_of_annual_pct	float	This month's share of the park's annual_visits -- the seasonal fingerprint (e.g. Acadia's October leaf season). (unit: percent)
month_rank_in_year	integer	Rank of this month's visits within the park-year (1 = busiest month; ties share rank, method 'min'). (unit: rank)
peak_month_flag	integer	1 when month_rank_in_year == 1 (the park's peak month that year). (unit: binary)
crowding_index	float	This month's recreation_visits ranked as a percentile (0-100) of the park's own full 1979-2024 history: 100 = the busiest month that park ever reported. A within-park history gauge, not a capacity measure. (unit: 0-100)
record_calendar_month_flag	integer	1 when this month's visits are the park's all-time maximum for that calendar month across all years. (unit: binary)
as_of	string	Fetch date in UTC (snapshot vintage). (unit: ISO date)
source_url	string	The exact IRMA DataStore download URL the visitation file was read from (provenance). (unit: URL)
row_hash	string	Deterministic 16-hex row hash of park_code + date (idempotency).

First 10 sample rows — a preview, not the complete dataset.

park_code	park_name	designation	unit_type	unit_status	state_codes	country_code	date	year	month	recreation_visits	nonrecreation_visits	total_visits	recreation_visitor_hours	yoy_change_pct	mom_change_pct	annual_visits	month_share_of_annual_pct	month_rank_in_year	crowding_index	record_calendar_month_flag	as_of	source_url	row_hash
ABLI	Abraham Lincoln Birthplace National Historical Park	National Historical Park	Historical Parks	current	KY	USA	2024-12-01	2,024	12	8,511	0	8,511	8,511	-6.359	-41.682	249,166	3.416	11	28.3	0	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	75cc468e5452e824
ACAD	Acadia National Park	National Park	National Parks	current	ME	USA	2024-12-01	2,024	12	14,960	600	15,560	89,762	0.605	-80.416	3,961,661	0.378	11	12.5	0	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	b4a25ff1fe3bfb6a
ADAM	Adams National Historical Park	National Historical Park	Historical Parks	current	MA	USA	2024-12-01	2,024	12	359	36	395	180	-21.099	-16.512	45,656	0.786	12	18.1	0	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	4d52bcf67e2bb2eb
AFBG	African Burial Ground National Monument	National Monument	Monuments	current	NY	USA	2024-12-01	2,024	12	1,581	0	1,581	1,001	-53.308	-50.594	36,007	4.391	12	20	0	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	73e2ba827ce8e8df
AGFO	Agate Fossil Beds National Monument	National Monument	Monuments	current	NE	USA	2024-12-01	2,024	12	211	0	211	528	37.013	-51.044	19,395	1.088	10	28.9	0	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	d84f7cc05f620dfe
ALAG	Alagnak Wild River	Wild River	Rivers & Riverways	current	AK	USA	2024-12-01	2,024	12	0	0	0	0	—	—	278	0	5	34.4	1	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	ef70f25a9c6b8c61
ALFL	Alibates Flint Quarries National Monument	National Monument	Monuments	current	TX	USA	2024-12-01	2,024	12	503	0	503	1,258	199.405	-54.314	8,558	5.878	9	77.4	1	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	8ea5b3bce165c759
ALPO	Allegheny Portage Railroad National Historic Site	National Historic Site	Historic Sites	current	PA	USA	2024-12-01	2,024	12	9,273	15	9,288	15,255	-10.414	-25.404	193,903	4.782	11	41.7	0	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	4f704ae06ce855fa
AMCH	Amache National Historic Site	National Historic Site	Historic Sites	current	CO	USA	2024-12-01	2,024	12	389	25	414	389	—	-22.97	4,771	8.153	6	58.3	1	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	eca145da5de42b57
AMIS	Amistad National Recreation Area	National Recreation Area	Recreation Areas	current	TX	USA	2024-12-01	2,024	12	59,212	0	59,212	455,765	63.217	8.84	832,294	7.114	7	10.9	0	2026-10-02	https://irma.nps.gov/DataStore/DownloadFile/753817?Reference=2316688	8e24c5d183c716dd

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/nps_park_visitation_intel/nps_park_visitation_monthly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/nps_park_visitation_intel/nps_park_visitation_monthly").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/nps_park_visitation_intel/nps_park_visitation_monthly

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20261002T061754Z-1826ff7bb237 and its content hash, so readers get exactly the data you used.

APA

U.S. National Park Service. (2026). US national park visitation intelligence (monthly, by park) [Data set, snapshot 20261002T061754Z-1826ff7bb237, sha256 1826ff7bb237]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/en/datasets/nps_park_visitation_intel/nps_park_visitation_monthly?snapshot=20261002T061754Z-1826ff7bb237

BibTeX

@misc{dz_nps_park_visitation_intel_nps_park_visit_1826ff7b,
  title        = {{US national park visitation intelligence (monthly, by park)}},
  author       = {{U.S. National Park Service}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/nps_park_visitation_intel/nps_park_visitation_monthly?snapshot=20261002T061754Z-1826ff7bb237}},
  note         = {Snapshot 20261002T061754Z-1826ff7bb237, sha256 1826ff7bb23784c958a10dbe3c9abb81131ed48a02ce654e3e83da1afa3a0524; accessed 2026-10-02}
}

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US national park visitation intelligence (monthly, by park)

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