Population totals for groupings commonly used in other datasets. Not all values are available for all years. Note that because the "Citywide" rows roll up the values from the individual ZIP Codes and the "Age 0-4," "Age 5-11," "Age 12-17," "Age 5+," "Age 18+," and "Age 65+" columns overlap other age categories, as well as each other in some cases, care should be taken in summing values to avoid accidental double-counting. The "Age 5-11" and "Age 12-17" columns only include children who live in households. Data Sources: U.S. Census Bureau American Community Survey (ACS) 5-year estimates (ZIP Code) and 1-year estimates (Citywide). The U.S. Census Bureau did not release standard 1-year estimates from the 2020 ACS. In 2020 only, 5-year estimates were used for the Citywide estimates.
This dataset has the following 26 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| Geography Type | geography_type | text | The type of geographic unit for the population count. | Zip Code ZIP Code Citywide view top 100 |
| Year | year | number | The year to which the population count applies. | 2021 2019 2018 2020 view top 100 |
| Geography | geography | text | The specific geographic unit. | 60606 60642 60634 60666 60612 view top 100 |
| Population - Total | population_total | number | 0 28569 29529 85979 49730 view top 100 | |
| Population - Age 0-17 | population_age_0_17 | number | 0 149 119 25874 9924 view top 100 | |
| Population - Age 18-29 | population_age_18_29 | number | 0 4822 6546 11532 6875 view top 100 | |
| Population - Age 30-39 | population_age_30_39 | number | 0 5971 5997 3459 8634 view top 100 | |
| Population - Age 40-49 | population_age_40_49 | number | 0 8027 5950 483 9928 view top 100 | |
| Population - Age 50-59 | population_age_50_59 | number | 0 3369 658 970 5847 view top 100 | |
| Population - Age 60-69 | population_age_60_69 | number | 0 3432 255435 2919 3236 view top 100 | |
| Population - Age 70-79 | population_age_70_79 | number | 0 1897 2517 2621 1585 view top 100 | |
| Population - Age 80+ | population_age_80 | number | 0 1419 3177 1997 1453 view top 100 | |
| Population - Age 0-4 | population_age_0_4 | number | Note that this column is provided as a convenience and overlaps previous columns. | 0 75 2726 12 1793 view top 100 |
| Population - Age 5-11 | population_age_5_11 | number | Note that this column is provided as a convenience and overlaps previous columns and that it only includes children who live in households. | 0 1100 4108 5498 3768 view top 100 |
| Population - Age 12-17 | population_age_12_17 | number | Note that this column is provided as a convenience and overlaps previous columns and that it only includes children who live in households. | 0 1036 4994 2923 4267 view top 100 |
| Population - Age 5+ | population_age_5_ | number | Note that this column is provided as a convenience and overlaps previous columns. | 0 1183 19278 53322 43254 view top 100 |
| Population - Age 18+ | population_age_18_ | number | Note that this column is provided as a convenience and overlaps previous columns. | 0 71741 28342 43254 21232 view top 100 |
| Population - Age 65+ | population_age_65_ | number | Note that this column is provided as a convenience and overlaps previous columns. | 0 8057 6131 2089 1330 view top 100 |
| Population - Female | population_female | number | 0 22556 22212 35506 28388 view top 100 | |
| Population - Male | population_male | number | 0 20084 12601 626 21919 view top 100 | |
| Population - Latinx | population_latinx | number | 0 1409 34 2232 36407 view top 100 | |
| Population - Asian Non-Latinx | population_asian_non_latinx | number | 0 24 397 7216 148 view top 100 | |
| Population - Black Non-Latinx | population_black_non_latinx | number | 0 1034 72 307 2408 view top 100 | |
| Population - White Non-Latinx | population_white_non_latinx | number | 0 20315 10557 7144 57985 view top 100 | |
| Population - Other Race Non-Latinx | population_other_race_non | number | 0 754 521 1177 6 view top 100 | |
| Record ID | record_id | text | A unique ID for the record. | ZIP_Code-60624-2018 ZIP_Code-60630-2019 ZIP_CODE-60651-2020 ZIP_CODE-60637-2020 ZIP_Code-60608-2018 view top 100 |