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The processing of the 1880 census data took so long (eight years) that the Census Bureau contracted Herman Hollerith to design and build a tabulating machine to be used for the next census. [8] [9] The 1880 census also led to the discovery of the Alabama paradox. Source: Table I, Population of the United States, by States and Territories [10]
The following is a list of cities in Michigan with a population of at least 5,000 based on 1880 U.S. Census data. Historic census data from 1870 and 1890 is included to reflect trends in population increases or decreases.
This template is used as an information box on pages, showing each census year with a population, and a percent gain/loss comparison. Also includes functionality for a custom title/footer for the infobox, easy-to-insert citations for each census year, and population estimates for a single non-census year (with an easy-to-insert citation thing for this as well). Template parameters [Edit ...
The 1892 New York state census is more vague, asking only for a country of birth (rather than a specific U.S. state or New York county of birth), not indicating relationships of various people to each other, and not indicating where new families begin on the census forms. [15]
The net effect of the many changes from the 1880 census: the larger population, the data items to be collected, the Census Bureau headcount, the scheduled publications, and the use of Hollerith's electromechanical tabulators, reduced the time required to process the census from eight years for the 1880 census to six years for the 1890 census. [17]
Interactive maps, databases and real-time graphics from The Huffington Post
An eletric vehicle burst into flames outside of the Trump International Hotel in Las Vegas on Wednesday, according to officials and videos on social media.
Data USA is a free platform that allows users to collect, analyze, and visualize shared U.S. government data. Launched on April 4, 2016, Data USA is the product of an ongoing partnership between Deloitte, Massachusetts Institute of Technology (MIT) Collective Learning Group, and Datawheel.