Census tract zip code crosswalk

In both of these cases, the data are normalized to the most recent year and across multiple decades instead of decade to decade. Michigan Population Studies Center. Crosswalks for Tabular Data MABLE Geocorr [Geographic Correspondence Tool] This is a geographic correspondence tool or crosswalk across various geographies such as Congressional Districts, counties, places, zip codes, census tracts, block groups, voting districts, and school districts.

Blank values are given in cases where a source or target zone lies entirely offshore in coastal or Great Lakes waters. In these cases we are unable to use NHGIS boundary files, which exclude offshore areas, to determine relationships between and later census zones. For censuses after , we use block relationship files from the Census Bureau to identify intersections in offshore areas.

None of the blocks or BGPs with a "blank" target zone had any reported population or housing units. We include the records with blank values to ensure that all source and target zones are represented in the file.

Skip to main content. Geographic Crosswalks. Blocks are the lowest level for which the Census Bureau tabulates full-count, short-form summary data, covering subjects such as age, sex, race, household size, and housing tenure.

Block group parts are the lowest level for which the Census Bureau tabulated sample-based, long-form summary data in and , covering subjects such as income, employment, education, nativity, migration, and commuting. Back to top How to Use the Crosswalks Crosswalks from Blocks In a block-to-block crosswalk, each record identifies a possible intersection between a single source block and a single target block, along with an interpolation weight ranging between 0 and 1 identifying approximately what portion of the source zone's population and housing units were located in the intersection.

For example, to interpolate count data from blocks to blocks : Obtain data of interest for blocks E. For example, to compute counts for school districts : Obtain block counts of interest and use the to block crosswalk to generate data for blocks following steps similar to those above Obtain a block data table from NHGIS and join it to the counts from step 1 You can find codes for most census units, including school districts, in block-level table files Sum the counts for all blocks in each school district Back to top Crosswalks from Block Group Parts The steps for using crosswalks from block group parts BGPs mirror those for crosswalks from blocks.

Back to top Extending to Census Units In most cases, allocating data to counties, census tracts, or block groups will produce results that are directly comparable to tables from the releases of American Community Survey ACS Summary Files.

The interpolation weights in the crosswalks from and blocks to blocks involve some more advanced modeling as documented in these pages: Block Data Standardized to Geography Block Data Standardized to Geography To generate crosswalks from block group parts BGPs , we used block-level data and the block-to-block crosswalks to calculate the proportion of each BGP's characteristics that were located in each target zone.

Back to top Geographic Coverage Each crosswalk file is complete for the entire U. Census tract code 6 digits for and tracts. Census block code 4 digits for and blocks. Back to top Interpolation Weights The block-to-block crosswalks include a single interpolation weight labeled "WEIGHT" representing the expected proportion of the source block's population and housing units located in each target block.

Note: household counts are equal to counts of occupied housing units and of householders. This prevents applications from automatically reading the identifier as a number and, in effect, dropping important leading zeros.

Expected proportion of source zone's households located in target zone. North Dakota. Rhode Island. South Carolina. South Dakota. District of Columbia. New Hampshire. New Jersey. If the analysis is being done for an area larger than a single ZIP Code, then just add up the data directly from the census tracts rather than converting their data to ZIP Codes.

Don't add up the ZIP Code data by allocating all of the data for each census tract to each ZIP Code which overlaps with each census tract and then summing the results; many of the census tracts would be counted multiple times unless additional steps were taken to deduplicate them.

Instead, leave ZIP Codes out of the calculation and just add up the data for the selected area by census tract. In the four-county Orlando metropolitan area multiple ZIP Codes exist in the census tracts times. For example, Lake County census tract The tables below include lines for each of those external census tracts, but those external census tract numbers are not listed in the Census Tract column see instead the Tract Code column.

It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.