Boston Population Estimates 2025 City Level

Name: Boston Population Estimates 2025 City Level
Creator: Planning Department
License: https://opendatacommons.org/licenses/pddl/1-0/

The Boston Archive

Dataset

Boston Population Estimates 2025 City Level

<div><b>This dataset includes the City of Boston Planning Department Research Division's population estimates for Boston's population at the City level on January 1st, 2025. </b></div><div><br /></div><div>The Research Division created age-specific population estimates for Boston, its…

Dataset

Publisher: Planning Department
Spatial coverage: Boston, Massachusetts
Fields: 306
Keywords: 2025, boston, census, city of boston, demographic, demographics, neighborhoods, people, population, tracts
Publisher's page: https://data.boston.gov/dataset/2025-boston-population-estimates-city-level

Artifacts

“Preserved” means the archive holds the bytes and their digest. “Referenced” means it holds the record of them and nothing more. The archive does not claim a holding it cannot prove.

Format	Preservation	Size	Digest	Source
ArcGIS GeoServices REST API	referenced	—	`—`	source
CSV	referenced	14055	`10d9d61b93e8db73342c77f461e48d941ad4f858f11bf3ac1c9a186db7ad1b5f`	source
GeoJSON	referenced	112060	`8966964dab5d9bde180fbc949e0dd196aadce65a5c6eb12232f25a4c2fd33ecb`	source

Column dictionary

The publisher's own dictionary, preserved verbatim. The archive does not reword a schema into its own vocabulary — how the publisher named a column is evidence about the publisher.

Column	Type	Description
`city`	text
`year`	text
`land_area_in_sq_miles`	text
`education_b15003_001e`	text
`education_b15003_lt9th`	text
`education_b15003_9th_to_12thnodiploma`	text
`education_b15003_hsgrad_and_ged`	text
`education_b15003_somecollegenodegree`	text
`education_b15003_021e`	text
`education_b15003_022e`	text
`education_b15003_gradprofdegree`	text
`education_b14002_001e`	text
`education_b14002_male_public_n_to_12`	text
`education_b14002_male_private_n_to_12`	text
`education_b14002_020e`	text
`education_b14002_021e`	text
`education_b14002_023e`	text
`education_b14002_024e`	text
`education_b14002_025e`	text
`education_b14002_female_public_n_to_12`	text
`education_b14002_female_private_n_to_12`	text
`education_b14002_044e`	text
`education_b14002_045e`	text
`education_b14002_047e`	text
`education_b14002_048e`	text
`education_b14002_049e`	text
`housing_b25042_002e`	text
`housing_b25042_009e`	text
`housing_b25042_001e`	text
`housing_housingmaster_2011`	text
`housing_housingmaster_2012`	text
`housing_housingmaster_2013`	text
`housing_housingmaster_2014`	text
`housing_housingmaster_2015`	text
`housing_housingmaster_2016`	text
`housing_housingmaster_2017`	text
`housing_housingmaster_2018`	text
`housing_housingmaster_2019`	text
`housing_housingmaster_2020`	text
`housing_housingmaster_2021`	text
`housing_housingmaster_2022`	text
`housing_housingmaster_2023`	text
`housing_housingmaster_2024`	text
`housing_b08201_001e`	text
`housing_b08201_002e`	text
`housing_b08201_1plusvehiclesavailable`	text
`housing_nbhdproj_0_to_1br`	text
`housing_nbhdproj_2br`	text
`housing_nbhdproj_3br`	text
`housing_avehhsize`	text
`housing_b11001_001`	text
`housing_b11001_002`	text
`housing_b11001_008`	text
`housing_b11001_009`	text
`labor_c24030_001e`	text
`labor_c24030_003e`	text
`labor_c24030_006e`	text
`labor_c24030_007e`	text
`labor_c24030_008e`	text
`labor_c24030_009e`	text
`labor_c24030_010e`	text
`labor_c24030_013e`	text
`labor_c24030_014e`	text
`labor_c24030_017e`	text
`labor_c24030_021e`	text
`labor_c24030_024e`	text
`labor_c24030_027e`	text
`labor_c24030_028e`	text
`labor_c24030_030e`	text
`labor_c24030_033e`	text
`labor_c24030_034e`	text
`labor_c24030_035e`	text
`labor_c24030_036e`	text
`labor_c24030_037e`	text
`labor_c24030_040e`	text
`labor_c24030_041e`	text
`labor_c24030_044e`	text
`labor_c24030_048e`	text
`labor_c24030_051e`	text
`labor_c24030_054e`	text
`labor_c24030_055e`	text
`labor_c24010_001e`	text
`labor_c24010_003e`	text
`labor_c24010_019e`	text
`labor_c24010_027e`	text
`labor_c24010_030e`	text
`labor_c24010_034e`	text
`labor_c24010_039e`	text
`labor_c24010_055e`	text
`labor_c24010_063e`	text
`labor_c24010_066e`	text
`labor_c24010_070e`	text
`labor_b24080_001e`	text
`labor_b24080_employee_of_priv_company`	text
`labor_b24080_priv_nfp_wage_and_salary`	text
`labor_b24080_local_gov`	text
`labor_b24080_state_gov`	text
`labor_b24080_fed_gov`	text
`labor_b24080_self_employed`	text
`labor_b24080_unpaid_family_workers`	text
`labor_b08301_001e`	text
`labor_b08301_003e`	text
`labor_b08301_004e`	text
`labor_b08301_010e`	text
`labor_b08301_019e`	text
`labor_b08301_taxi_motorcycle_bicycle_other`	text
`labor_b08301_021e`	text
`labor_b08303_001e`	text
`labor_b08303_0_to_14min`	text
`labor_b08303_15_to_29min`	text
`labor_b08303_30_to_59min`	text
`labor_b08303_60plus_min`	text
`population_b03002_001e`	text
`population_b03002_003e`	text
`population_b03002_004e`	text
`population_b03002_005e`	text
`population_b03002_006e`	text
`population_b03002_007e`	text
`population_b03002_008e`	text
`population_b03002_009e`	text
`population_b03002_012e`	text
`population_b01001_001e`	text
`population_b01001_002e`	text
`population_b01001_003e`	text
`population_b01001_004e`	text
`population_b01001_005e`	text
`population_b01001_006e`	text
`population_b01001_007e`	text
`population_b01001_male20_to_24years`	text
`population_b01001_011e`	text
`population_b01001_012e`	text
`population_b01001_013e`	text
`population_b01001_014e`	text
`population_b01001_015e`	text
`population_b01001_016e`	text
`population_b01001_017e`	text
`population_b01001_male60_to_64years`	text
`population_b01001_male65_to_69years`	text
`population_b01001_022e`	text
`population_b01001_023e`	text
`population_b01001_024e`	text
`population_b01001_025e`	text
`population_b01001_026e`	text
`population_b01001_027e`	text
`population_b01001_028e`	text
`population_b01001_029e`	text
`population_b01001_030e`	text
`population_b01001_031e`	text
`population_b01001_female20_to_24years`	text
`population_b01001_035e`	text
`population_b01001_036e`	text
`population_b01001_037e`	text
`population_b01001_038e`	text
`population_b01001_039e`	text
`population_b01001_040e`	text
`population_b01001_041e`	text
`population_b01001_female60_to_64years`	text
`population_b01001_female65_to_69years`	text
`population_b01001_046e`	text
`population_b01001_047e`	text
`population_b01001_048e`	text
`population_b01001_049e`	text
`population_b05002_001e`	text
`population_b05002_002e`	text
`population_b05002_014e`	text
`population_b05002_021e`	text
`population_s1810_c01_001e`	text
`population_s1810_c01_013e`	text
`population_s1810_c01_014e`	text
`population_s1810_c01_015e`	text
`population_s1810_c01_016e`	text
`population_s1810_c01_017e`	text
`population_s1810_c01_018e`	text
`population_s1810_c01_020e`	text
`population_s1810_c01_023e`	text
`population_s1810_c01_026e`	text
`population_s1810_c01_030e`	text
`population_s1810_c01_033e`	text
`population_s1810_c01_036e`	text
`population_s1810_c01_040e`	text
`population_s1810_c01_041e`	text
`population_s1810_c01_044e`	text
`population_s1810_c01_048e`	text
`population_s1810_c01_049e`	text
`population_s1810_c01_052e`	text
`population_s1810_c01_056e`	text
`population_s1810_c01_057e`	text
`population_s1810_c01_060e`	text
`population_s1810_c01_064e`	text
`population_s1810_c01_067e`	text
`population_s1810_c02_019e`	text
`population_s1810_c02_029e`	text
`population_s1810_c02_039e`	text
`population_s1810_c02_047e`	text
`population_s1810_c02_055e`	text
`population_s1810_c02_063e`	text
`population_s1810_c02_001e`	text
`population_s1810_c02_013e`	text
`population_s1810_c02_014e`	text
`population_s1810_c02_015e`	text
`population_s1810_c02_016e`	text
`population_s1810_c02_017e`	text
`population_s1810_c02_018e`	text
`population_c16001_001e`	text
`population_c16001_002e`	text
`population_c16001_003e`	text
`population_c16001_004e`	text
`population_c16001_005e`	text
`population_c16001_006e`	text
`population_c16001_007e`	text
`population_c16001_008e`	text
`population_c16001_009e`	text
`population_c16001_010e`	text
`population_c16001_011e`	text
`population_c16001_012e`	text
`population_c16001_013e`	text
`population_c16001_014e`	text
`population_c16001_015e`	text
`population_c16001_016e`	text
`population_c16001_017e`	text
`population_c16001_018e`	text
`population_c16001_019e`	text
`population_c16001_020e`	text
`population_c16001_021e`	text
`population_c16001_022e`	text
`population_c16001_023e`	text
`population_c16001_024e`	text
`population_c16001_025e`	text
`population_c16001_026e`	text
`population_c16001_027e`	text
`population_c16001_028e`	text
`population_c16001_029e`	text
`population_c16001_030e`	text
`population_c16001_031e`	text
`population_c16001_032e`	text
`population_c16001_033e`	text
`population_c16001_034e`	text
`population_c16001_035e`	text
`population_c16001_036e`	text
`population_c16001_037e`	text
`population_c16001_038e`	text
`income_b19037_001e`	text
`income_b19037_lt10k`	text
`income_b19037_10k_to_14999`	text
`income_b19037_15k_to_19999`	text
`income_b19037_20k_to_24999`	text
`income_b19037_25k_to_29999`	text
`income_b19037_30k_to_34999`	text
`income_b19037_35k_to_39999`	text
`income_b19037_40k_to_44999`	text
`income_b19037_45k_to_49999`	text
`income_b19037_50k_to_59999`	text
`income_b19037_60k_to_74999`	text
`income_b19037_75k_to_99999`	text
`income_b19037_100k_to_124999`	text
`income_b19037_125k_to_149999`	text
`income_b19037_150k_to_199999`	text
`income_b19037_200k_plus`	text
`income_b17001_001e`	text
`income_b17001_002e`	text
`income_b17001_below_pov_under_5yrs`	text
`income_b17001_below_pov_5yrs`	text
`income_b17001_below_pov_6to11`	text
`income_b17001_below_pov_12to14`	text
`income_b17001_below_pov_15to17`	text
`income_b17001_below_pov_18to24`	text
`income_b17001_below_pov_25to34`	text
`income_b17001_below_pov_35to44`	text
`income_b17001_below_pov_45to54`	text
`income_b17001_below_pov_55to64`	text
`income_b17001_below_pov_65to74`	text
`income_b17001_below_pov_75plus`	text
`income_b17001_at_or_above_pov_under_5yrs`	text
`income_b17001_at_or_above_pov_5yrs`	text
`income_b17001_at_or_above_pov_6to11`	text
`income_b17001_at_or_above_pov_12to14`	text
`income_b17001_at_or_above_pov_15to17`	text
`income_b17001_at_or_above_pov_18to24`	text
`income_b17001_at_or_above_pov_25to34`	text
`income_b17001_at_or_above_pov_35to44`	text
`income_b17001_at_or_above_pov_45to54`	text
`income_b17001_at_or_above_pov_55to64`	text
`income_b17001_at_or_above_pov_65to74`	text
`income_b17001_at_or_above_pov_75plus`	text
`income_b27001_001e`	text
`income_b27001_lt6_hc`	text
`income_b27001_lt6_nhc`	text
`income_b27001_6_to_18_hc`	text
`income_b27001_6_to_18_nhc`	text
`income_b27001_19_to_25_hc`	text
`income_b27001_19_to_25_nhc`	text
`income_b27001_26_to_34_hc`	text
`income_b27001_26_to_34_nhc`	text
`income_b27001_35_to_44_hc`	text
`income_b27001_35_to_44_nhc`	text
`income_b27001_45_to_54_hc`	text
`income_b27001_45_to_54_nhc`	text
`income_b27001_55_to_64_hc`	text
`income_b27001_55_to_64_nhc`	text
`income_b27001_65_to_74_hc`	text
`income_b27001_65_to_74_nhc`	text
`income_b27001_75plus_hc`	text
`income_b27001_75plus_nhc`	text
`Shape_Length`	text
`Shape_Area`	text
`shape_wkt`	text

Identity

Identifier: urn:lemay:boston:dataset:2025-boston-population-estimates-city-level
Canonical URL: https://boston.fyi/dataset/2025-boston-population-estimates-city-level
As JSON: https://boston.fyi/dataset/2025-boston-population-estimates-city-level.json
Version: 1 · last changed 2 September 2026

Provenance

Source: City of Boston Open Data Portal (Analyze Boston) — source of record
Licence: Open Data Commons Public Domain Dedication and Licence (PDDL) 1.0 (public_domain)
Retrieved: 2 September 2026
Source identifier: 2025-boston-population-estimates-city-level
Attribution: City of Boston
Rights as stated: Open Data Commons Public Domain Dedication and License (PDDL)

Transform ladder

#	Operation	Description	Tool
1	`fetch`	retrieved the dataset's metadata record from the CKAN package_show endpoint	`archive-ingest 0.1.0`
2	`normalize`	mapped the portal's catalogue fields onto the archive's Dataset record; the publisher's own wording and column dictionary are preserved verbatim	`archive-ingest 0.1.0`