{"id":1236362,"date":"2021-05-19T14:14:16","date_gmt":"2021-05-19T21:14:16","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=1236362"},"modified":"2021-05-20T16:39:50","modified_gmt":"2021-05-20T23:39:50","slug":"compare-places-dashboard-review-the-proposed-census-2020-disclosure-avoidance-system","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/state-government\/compare-places-dashboard-review-the-proposed-census-2020-disclosure-avoidance-system","title":{"rendered":"Compare Places Dashboard: Review the Proposed Census 2020 Disclosure Avoidance System"},"author":6491,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22871],"tags":[646321,757261,739191,266462,760462],"industry":[],"product":[36671,37011],"class_list":["post-1236362","blog","type-blog","status-publish","format-standard","hentry","category-state-government","tag-census-2020","tag-das","tag-differential-privacy","tag-esri-demographics","tag-redistricting","product-ops-dashboard","product-esri-demographics"],"acf":{"short_description":"Explore this Dashboard to compare place level differences between Census 2010 SF1 and Census 2020 DAS V12.2","flexible_content":[{"acf_fc_layout":"content","content":"

The US Census Bureau has been working diligently to refine the Disclosure Avoidance System (DAS) for the Census 2020 redistricting data release in September. The DAS is an essential component of this decade\u2019s Census data releases because the Census Bureau is required by law to protect individual privacy under Title 13. The DAS represents a compromise between accurate data and privacy protection. In prior censuses the Census Bureau used various forms of disclosure avoidance<\/a>. These techniques historically consisted of table suppression and data swapping. Given the risk of a \u201creconstruction attack<\/a>,\u201d Census 2020 will apply a more modern formal statistical approach of disclosure avoidance called differential privacy. Refer to this blog<\/a> for more information on the move to differential privacy.<\/p>\n

Demonstration Data<\/strong><\/p>\n

To better understand what differentially privatized data look like, the Census Bureau has released a series of demonstration products<\/a> that compare published Census 2010 data with incremental versions the Census 2020 DAS applied to Census 2010 data. This allows for a comparison of the differences between the old method of data swapping and the new method of differential privacy. This comparison therefore allows users to test the Census 2020 DAS for fitness of use in various use cases. The latest version of the DAS has increased the Privacy-Loss Budget (PLB) to 12.2. This essentially means that there is less noise injected into the data than in prior versions of the DAS. The Census Bureau plans to apply this DAS to the upcoming redistricting data release. However, there is still time to provide the Census Bureau with valuable feedback on the data\u2019s fitness for use.<\/p>\n

To make the differentially privatized Census 2010 demonstration data more accessible and easier to use, IPUMS NHGIS<\/a> have processed and tabulated the released microdata for 15 geographies. In conjunction with these tabulation releases, Esri has published five versions<\/a> of the demonstration data as feature sets for 8 geographies in the ArcGIS Living Atlas of the World. The most recent version is V5 (April 2021).<\/p>\n

Compare Places <\/strong><\/p>\n

Esri used the latest version of Census demonstration data published in the Living Atlas of the World to analyze the differences between the demonstration and released data sets at the place level. Places are easy to interact with as we are all familiar with our general local areas, but not many people know what tract or block group they live in. There are 29,261 places in the 2010 Census places inventory. This includes 9,721 Census Designated Places (CDPs) and 19,540 incorporated jurisdictions. Use this application to better understand places that you are familiar with.<\/p>\n

Are the differences between the latest version of demonstration data (DP) and the released Census 2010 data (SF1) acceptable for your use case?<\/span><\/p>\n

Click the image below to launch the Dashboard<\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":1236472,"id":1236472,"title":"CP12.2full","filename":"CP12.2full.png","filesize":441377,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/esri-demographics\/state-government\/compare-places-dashboard-review-the-proposed-census-2020-disclosure-avoidance-system\/cp12-2full","alt":"","author":"6491","description":"","caption":"","name":"cp12-2full","status":"inherit","uploaded_to":1236362,"date":"2021-05-19 20:32:53","modified":"2021-05-19 20:32:53","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1920,"height":1009,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full.png","medium-width":464,"medium-height":244,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full.png","medium_large-width":768,"medium_large-height":404,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full.png","large-width":1920,"large-height":1009,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full-1536x807.png","1536x1536-width":1536,"1536x1536-height":807,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full.png","2048x2048-width":1920,"2048x2048-height":1009,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full-826x434.png","card_image-width":826,"card_image-height":434,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/05\/CP12.2full.png","wide_image-width":1920,"wide_image-height":1009}},"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/arcgis-content.maps.arcgis.com\/apps\/dashboards\/f64bfe669877413087cc2b383628f671"},{"acf_fc_layout":"content","content":"

Differences across datasets <\/strong><\/p>\n

There are many ways to explore the differences between the two datasets. As you navigate through the application it is helpful to have some context as to how the differences in your places of interest compare to the typical differences among all places. For this context refer to the descriptive statistics below.<\/p>\n

Descriptive Statistics For All 2010 Places<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Differences (DP – SF1)<\/strong><\/td>\nAverage<\/strong><\/td>\nMin <\/strong><\/td>\nMedian <\/strong><\/td>\nMax<\/strong><\/td>\nSD<\/strong><\/td>\nMin %* <\/strong><\/td>\nMedian %* <\/strong><\/td>\nMax %* <\/strong><\/td>\nMALPD<\/strong><\/td>\nMAPD<\/strong><\/td>\n<\/tr>\n
Household Population<\/td>\n-2.7<\/td>\n-1,995<\/td>\n0<\/td>\n4,798<\/td>\n65.7<\/td>\n-90.0%<\/td>\n0.0%<\/td>\n1050.0%<\/td>\n0.4%<\/td>\n1.6%<\/td>\n<\/tr>\n
Population 18+<\/td>\n-1.3<\/td>\n-923<\/td>\n0<\/td>\n769<\/td>\n33.2<\/td>\n-90.0%<\/td>\n0.0%<\/td>\n300.0%<\/td>\n0.1%<\/td>\n1.8%<\/td>\n<\/tr>\n
Households<\/td>\n-0.1<\/td>\n-273<\/td>\n0<\/td>\n289<\/td>\n15.9<\/td>\n-96.0%<\/td>\n0.0%<\/td>\n1886.0%<\/td>\n0.1%<\/td>\n3.2%<\/td>\n<\/tr>\n
White<\/td>\n-1.1<\/td>\n-510<\/td>\n-1<\/td>\n331<\/td>\n18.6<\/td>\n-93.8%<\/td>\n0.0%<\/td>\n500.0%<\/td>\n-0.5%<\/td>\n2.7%<\/td>\n<\/tr>\n
Black or African American<\/td>\n0.3<\/td>\n-334<\/td>\n0<\/td>\n309<\/td>\n13.5<\/td>\n-94.1%<\/td>\n0.0%<\/td>\n1800.0%<\/td>\n3.7%<\/td>\n33.2%<\/td>\n<\/tr>\n
Amer Indian and AK Native<\/td>\n0.0<\/td>\n-310<\/td>\n0<\/td>\n269<\/td>\n9.6<\/td>\n-95.5%<\/td>\n0.0%<\/td>\n2200.0%<\/td>\n7.2%<\/td>\n44.4%<\/td>\n<\/tr>\n
Asian<\/td>\n0.3<\/td>\n-124<\/td>\n0<\/td>\n425<\/td>\n10.7<\/td>\n-94.1%<\/td>\n0.0%<\/td>\n2800.0%<\/td>\n5.1%<\/td>\n37.8%<\/td>\n<\/tr>\n
Pacific Islander<\/td>\n-0.1<\/td>\n-378<\/td>\n0<\/td>\n721<\/td>\n7.8<\/td>\n-93.9%<\/td>\n0.0%<\/td>\n1700.0%<\/td>\n0.1%<\/td>\n29.1%<\/td>\n<\/tr>\n
Other<\/td>\n0.6<\/td>\n-227<\/td>\n0<\/td>\n350<\/td>\n12.7<\/td>\n-95.7%<\/td>\n0.0%<\/td>\n2300.0%<\/td>\n5.3%<\/td>\n35.9%<\/td>\n<\/tr>\n
Two or More Races<\/td>\n-2.4<\/td>\n-1,727<\/td>\n0<\/td>\n3,988<\/td>\n54.9<\/td>\n-96.3%<\/td>\n0.0%<\/td>\n2800.0%<\/td>\n27.5%<\/td>\n52.6%<\/td>\n<\/tr>\n
Hispanic<\/td>\n-0.7<\/td>\n-971<\/td>\n0<\/td>\n3,314<\/td>\n41.1<\/td>\n-93.8%<\/td>\n0.0%<\/td>\n1700.0%<\/td>\n14.4%<\/td>\n35.9%<\/td>\n<\/tr>\n
Non-Hispanic<\/td>\n-2.1<\/td>\n-1,305<\/td>\n0<\/td>\n1,987<\/td>\n39.9<\/td>\n-91.7%<\/td>\n0.0%<\/td>\n1100.0%<\/td>\n11.0%<\/td>\n2.2%<\/td>\n<\/tr>\n
Persons Per Household<\/td>\n0.0<\/td>\n-5.0<\/td>\n0.0<\/td>\n48.0<\/td>\n0.6<\/td>\nN\/A<\/td>\nN\/A<\/td>\nN\/A<\/td>\n3.2%<\/td>\n9.8%<\/td>\n<\/tr>\n
Occupancy*<\/td>\n-1.0%<\/td>\n83.3%<\/td>\n0.0%<\/td>\n78.0%<\/td>\n5.0%<\/td>\nN\/A<\/td>\nN\/A<\/td>\nN\/A<\/td>\n-0.2%<\/td>\n2.2%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

MALPD = Mean Algebraic Percent Difference, a measure of bias
\n<\/em>MAPD = Mean Absolute Percent Difference, a measure of average percent difference<\/em>
\nSD = Standard Deviation<\/em>
\n* These calculations are limited to cases where DP values are > 0 and SF1 values are > 0<\/em><\/p>\n

Looking at these descriptive statistics we can see some patterns in how the proposed DAS impacts the data:<\/p>\n