{"id":2752,"date":"2021-03-25T18:57:14","date_gmt":"2021-03-25T18:57:14","guid":{"rendered":"https:\/\/blogs.library.duke.edu\/data\/?p=2752"},"modified":"2021-03-25T19:37:52","modified_gmt":"2021-03-25T19:37:52","slug":"standardizing-the-u-s-census","status":"publish","type":"post","link":"https:\/\/blogs.library.duke.edu\/data\/2021\/03\/25\/standardizing-the-u-s-census\/","title":{"rendered":"Standardizing the U.S. Census"},"content":{"rendered":"<figure id=\"attachment_2770\" aria-describedby=\"caption-attachment-2770\" style=\"width: 442px\" class=\"wp-caption alignright\"><a href=\"http:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/CensusGeographies_Providence.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2770\" src=\"http:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/CensusGeographies_Providence.png\" alt=\"Census Tract Boundary Changes\" width=\"442\" height=\"328\" srcset=\"https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/CensusGeographies_Providence.png 1500w, https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/CensusGeographies_Providence-300x223.png 300w, https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/CensusGeographies_Providence-1024x760.png 1024w, https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/CensusGeographies_Providence-768x570.png 768w\" sizes=\"auto, (max-width: 442px) 100vw, 442px\" \/><\/a><figcaption id=\"caption-attachment-2770\" class=\"wp-caption-text\"><small>(https:\/\/datasparkri.org\/maps\/)<\/small><\/figcaption><\/figure>\n<p>The questions asked in the U.S. Census have changed over time to reflect both the data collecting needs of federal agencies and evolving societal norms. Census geographies have also evolved in this time period to reflect population change and shifting administrative boundaries in the United States.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Attempts to Provide Standardized Data<\/strong><\/h3>\n<p>For the researcher who needs to compare demographic and socioeconomic data over time, this variability in data and geography can be problematic. Various data providers have attempted to harmonize questions and to generate standard geographies using algorithms that allow for comparisons over time. Some of the projects mentioned in this post have used sophisticated weighting techniques to make more accurate estimates. See, for instance, some of the NHGIS documentation on standardizing data <a href=\"https:\/\/www.nhgis.org\/documentation\/time-series\/1990-blocks-to-2010-geog\">from 1990<\/a> and <a href=\"https:\/\/www.nhgis.org\/documentation\/time-series\/2000-blocks-to-2010-geog\">from 2000<\/a> to 2010 geography.<\/p>\n<h5>NHGIS<\/h5>\n<p>The <strong><a href=\"https:\/\/www.nhgis.org\/documentation\/time-series\">NHGIS Time Series Tables<\/a><\/strong> link census summary statistics across time and may require two types of integration: <strong>attribute integration<\/strong>, ensuring that the measured characteristics in a time series are comparable across time, and <strong>geographic integration<\/strong>, ensuring that the areas summarized by time series are comparable across time.<\/p>\n<p>For attribute integration, NHGIS often uses \u201c<a href=\"https:\/\/www.nhgis.org\/documentation\/time-series#geographic-integration\">nominally integrated tables<\/a>,\u201d where the aggregated data is presented as it was compiled. For instance, comparing \u201cDurham County\u201d data from 1960 and 2000 based on the common name of the county.<\/p>\n<p>For geographically standardized tables,\u00a0 when data from one year is aggregated to geographic areas from another year, NHGIS provides documentation with details on the weighting algorithms they use:<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><a href=\"https:\/\/www.nhgis.org\/documentation\/time-series\/1990-blocks-to-2010-geog\">1990 BLOCK DATA STANDARDIZED TO 2010 GEOGRAPHY<\/a><\/li>\n<li><a href=\"https:\/\/www.nhgis.org\/documentation\/time-series\/2000-blocks-to-2010-geog\">2000 BLOCK DATA STANDARDIZED TO 2010 GEOGRAPHY<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<figure id=\"attachment_2756\" aria-describedby=\"caption-attachment-2756\" style=\"width: 476px\" class=\"wp-caption alignright\"><a href=\"http:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/TractChanges.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-2756\" src=\"http:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/TractChanges.png\" alt=\"1990 to 2010 Tract changes in Cincinnati\" width=\"476\" height=\"245\" srcset=\"https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/TractChanges.png 1612w, https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/TractChanges-300x155.png 300w, https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/TractChanges-1024x529.png 1024w, https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/TractChanges-768x396.png 768w, https:\/\/blogs.library.duke.edu\/data\/files\/2021\/03\/TractChanges-1536x793.png 1536w\" sizes=\"auto, (max-width: 476px) 100vw, 476px\" \/><\/a><figcaption id=\"caption-attachment-2756\" class=\"wp-caption-text\"><small>(https:\/\/www.nhgis.org\/documentation\/time-series\/1990-blocks-to-2010-geog)<\/small><\/figcaption><\/figure>\n<p>NHGIS has resolved discrepancies in the electronic boundary files, as they illustrate here (an area of Cincinnati).<\/p>\n<h5>Social Explorer<\/h5>\n<p>The <strong><a href=\"https:\/\/login.proxy.lib.duke.edu\/login?url=https:\/\/www.socialexplorer.com\/\">Social Explorer Comparability Data<\/a><\/strong> is similar to the NHGIS Time Series Tables, but with more of a drill-down consumer interface. (Go to Tables and scroll down to the Comparability Data.) Only 2000 to 2010 data are available at the state, county, and census tract level.\u00a0 It provides data reallocated from the 2000 U.S. decennial census to the 2010 geographies, so you can get the earlier data in 2010 geographies for better comparison with 2010 data.<\/p>\n<h5>LTDB<\/h5>\n<p>The <strong>Longitudinal Tract Database (LTDB)<\/strong> developed at Brown University provides normalized boundaries at the <a href=\"https:\/\/en.wikipedia.org\/wiki\/Census_tract\">census tract<\/a> level for 1970-2010.\u00a0 Question coverage over time varies. The documentation for the project are available online:<\/p>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li><a href=\"https:\/\/s4.ad.brown.edu\/Projects\/Diversity\/Researcher\/Bridging.htm\">Project overview<\/a><\/li>\n<li><a href=\"https:\/\/s4.ad.brown.edu\/Projects\/Diversity\/Researcher\/MapLTDB.htm\">Web interface<\/a><\/li>\n<li><a href=\"https:\/\/www-tandfonline-com.proxy.lib.duke.edu\/doi\/abs\/10.1080\/24694452.2016.1187060\">Article on methodology<\/a> (mentioned further below)<\/li>\n<li><a href=\"https:\/\/s4.ad.brown.edu\/projects\/diversity\/Researcher\/LTDB.htm\">LTDB tools<\/a> (input your own data; use 2010 data)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>NC State has translated this data into <a href=\"http:\/\/gisdata.lib.ncsu.edu\/CENSUS\/LTDB\/\">ArcGIS geodatabase format<\/a>. \u00a0They provide a README file, a codebook, and the geodatabase available for download.<\/p>\n<h5><strong>Do-It-Yourself<\/strong><\/h5>\n<p>If you need to normalize data that isn\u2019t yet available this way, <a href=\"https:\/\/library.duke.edu\/data\/gis\">GIS software<\/a> may be able to help. Using intersection and re-combining techniques, this software may be able to generate estimates of older data in more recent geographies. \u00a0In ArcGIS, this involves <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/make-feature-layer.htm\">setting the ratio policy when creating a feature layer<\/a>, to allow apportioning numeric values in attributes among the various overlapping geographies. This involves an assumption of an even geographic distribution of the variable across the entire area (which is not as sophisticated as some of the algorithms used by groups such as NHGIS).<\/p>\n<p>Another research strategy employs crosswalks to harmonize census data over time. Crosswalks are tables that let you proportionally assign data from one year to another or to re-aggregate from one type of geography to another.\u00a0 Some of these are provided by the <a href=\"https:\/\/www.nhgis.org\/user-resources\/geographic-crosswalks\">NHGIS geographic crosswalk files<\/a>, the Census Bureau&#8217;s<a href=\"https:\/\/www.census.gov\/geographies\/reference-files\/time-series\/geo\/relationship-files.html\">\u00a0geographic relationship files<\/a>, and the <a href=\"https:\/\/mcdc.missouri.edu\/applications\/geocorr.html\">Geocorr utility<\/a> from the Missouri Census Data Center.<\/p>\n<p>You can contact <a href=\"https:\/\/library.duke.edu\/data\/gis\">CDVS<\/a> at <a href=\"mailto:askdata@duke.edu\">askdata@duke.edu<\/a> to inquire about the options for your project.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The questions asked in the U.S. Census have changed over time to reflect both the data collecting needs of federal agencies and evolving societal norms. Census geographies have also evolved in this time period to reflect population change and shifting administrative boundaries in the United States. &nbsp; Attempts to Provide Standardized Data For the researcher &hellip; <a href=\"https:\/\/blogs.library.duke.edu\/data\/2021\/03\/25\/standardizing-the-u-s-census\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Standardizing the U.S. Census<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":79,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[25,47],"tags":[],"class_list":["post-2752","post","type-post","status-publish","format-standard","hentry","category-census","category-data-sources"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Standardizing the U.S. Census - Duke Libraries Center for Data and Visualization Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blogs.library.duke.edu\/data\/2021\/03\/25\/standardizing-the-u-s-census\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Standardizing the U.S. Census - Duke Libraries Center for Data and Visualization Sciences\" \/>\n<meta property=\"og:description\" content=\"The questions asked in the U.S. Census have changed over time to reflect both the data collecting needs of federal agencies and evolving societal norms. 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