They represent the most frequently occurring five-digit ZIP Code found in a given area. It includes over 60, census tracts and over 40, ZIP Codes, and there are multiple lines for many of the census tracts, resulting in a 22 MB Excel file with 25 columns and , rows. The boundaries of ZIP Codes and census tracts often don't match.
If looking up which census tracts relate to a single ZIP Code, that overlap of boundaries doesn't create a major problem in terms of relative social and economic characteristics, but the counts won't be precise. 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 Each row represents an intersection of the specified census tract and ZIP code area and corresponds to a geographic area of one census block or more.
The total population and housing units values have been derived by summing component census block values. The sum of the population column is ,,, the United States Census total population. About the Author — Warren Glimpse is former senior Census Bureau statistician responsible for innovative data access and use operations. He is also the former associate director of the U.
Office of Federal Statistical Policy and Standards for data access and use. He has more than 20 years of experience in the private sector developing data resources and tools for integration and analysis of geographic, demographic, economic and business data.
Contact Warren. Join Warren on LinkedIn. You are commenting using your WordPress. You are commenting using your Google account. You are commenting using your Twitter account. You are commenting using your Facebook account. Note that the sum of each ratio column for each distinct ZIP code may not always equal 1. The decimal is implied and leading and trailing zeros have been preserved. In these files the denominators used to calculate the address ratios are the totals of each type of address in the tract, county or CBSA.
All three files share an identical structure with the exception of the geographic codes in the first column, which differs between the three crosswalk files — CBSA, County, and Tract — respectively. In the example below tract is split by two different ZIP codes, and , which appear in the ZIP column. The ratio of residential addresses in the first tract-ZIP record to the total number of residential addresses in the tract is.
The remaining residential addresses in that tract So, for example, if one wanted to allocate data from Census tract to the ZIP code level, one would multiply the number of observations in the Census tract by the residential ratio for each ZIP code associated with that Census tract.
Since the HUD geocoding base map is updated regularly, an effort is made to re-geocode these records with every new quarter of data. As a result, these crosswalk files will be generated on a quarterly basis and may differ slightly from quarter to quarter. We try to publish the Crosswalk Files by the end of the month following the quarter.
For example, we aim to publish fourth quarter by the end of January, first quarter by the end of April, and so on. Do ZIP Codes align with political or administrative boundaries? ZIP Codes do not align with political or administrative boundaries. ZIP Codes frequently cross county, city, and town jurisidctions.
ZIP Codes may also potentially cross state borders. ZIP Codes have the potential to intersect with multiple geographies.
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