China Census Backgroud Most countries rely on census data to seek a comprehensive probe into population dynamics. However, the records between census years at the city/county level in China are not comparable as the country has made substantial changes to administrative levels and boundaries over the...
economic trends, societal developments, etc. Driven by this interest, I have collected over 100 columns of data about the U.S., going down to the county level. This data comes from a wide variety of public sources, such as the U.S. Census, Center ...
Integration of remote sensing, county-level census, and machine learning for century-long regional cropland distribution data reconstructiondoi:10.1016/j.jag.2020.102151Jia YangBo TaoHao ShiYing OuyangChaoqun LuInternational Journal of Applied Earth Observation and Geoinformation...
The data can be supplemented by using aggregated data at the county level or at the zip-code level (e.g., Area Resource File or data from the Census Bureau). These data provide contextual information on where the program participant resides, but are not directly related to the individual'...
Unfortunately, officialCensus Bureau data on population growthlags by a year or two. That leaves investors relying on less official data to try to track population trends. Economic & Job Growth What drives population growth? Job growth, at least traditionally. A booming local economy attracts peopl...
Census Bureau definition (https://www.census.gov). One reason that may explain the effect of population density on disease mortality/spread could be that large cities are mostly connected with many other locations77. Crowding and transport infrastructure quality are conducive for the spread of the...
To address the issue, this paper analyzes the socioeconomic factors that explain the dropout rates in the United States using county-level data for 1990 and 2000 from the U.S. Bureau of the Census. Our findings point to regional as well as racial disparities. 展开 ...
going down to the county level. This data comes from a wide variety of public sources, such as the U.S. Census, Center for Disease Control and the Bureau of Labor Statistics. As I built out the dataset, I began to collect political data as well, and now have data f...
We used a combination of regression analyses with data reported by NASS and the AgCensus and linear mixed-effect models incorporating county-level environmental, management, and economic variables pertaining to different agroecozones. Predicted yield and crop area were very close to the data reported...
going down to the county level. This data comes from a wide variety of public sources, such as the U.S. Census, Center for Disease Control and the Bureau of Labor Statistics. As I built out the dataset, I began to collect political data as well, and now have data ...