This data provides estimates of Internet, broadband, and mobile use at the subnational level from 1997-2014. While the U.S. Bureau of the Census has collected data on Internet use over the years, estimates below the state level did not exist until the introduction of the new American Community Survey in 2013. The datasets here fill these gaps with estimates over time for cities, counties, metropolitan areas and states. They also provide demographic breakdowns for the 2013 and 2014 American Community Survey data, beyond what is available on the census website. The datasets can be used to draw comparisons across geographic locations and across time, to track inequality, change, and the impact of Internet use. Collectively, they show major differences across cities, as well as between urban and rural counties. Time series data indicate the flattening of growth in recent years, leading to the persistence of inequalities across places and demographic groups. Multilevel models are used to estimate the percentage of Internet use across counties, principal cities, and metropolitan areas with the CPS and ACs data. A group of random intercept logistic regressions (a type of multilevel model) are constructed for each of the Internet-related variables, namely, home Internet access, home broadband, mobile Internet, and fully-connected household (with broadband and mobile). Estimates are based on the U.S. Bureau of the Census Current Population Survey data for 1997, 2998, 200, 2001, 2003, 2007, 2009, 2010, 2011, and 2012 and the U.S. Bureau of the Census American Community Survey 2013 and 2014, with estimates for missing years imputed via linear interpolation. Estimates for home Internet access are available for 1997-2014, home broadband use for 2000-2014, and mobile use and fully-connected Internet use for 2011-2014. Data available for different geographies is described below. Current Population Survey Data, 1997-2012: Internet use time series, three-year averages, time series for rate of change in Internet use, three-year averages for the rate of change, and yearly summary statistics are available for approximately 330 counties (with some variation over years), the 50 largest Metropolitan Statistical Areas (MSAs), principal cities in the 50 largest MSAs, and the 50 states. American Community Survey Data, 2013-2014: Using Summary Tables of the American Community Survey available in FactFinder, estimates for home Internet access and home broadband are provided by race, ethnicity, education, age, and employment status for 50 states, 817 counties, 381 MSAs, 383 principal cities in 2013 and 387 principal cities in 2014. Using microdata, estimates are developed for home Internet access, home broadband, mobile Internet, and fully connected households broken down by race, ethnicity, education, age, family income, and language skill. The microdata estimates are available for 50 states, 417 counties, 260 MSAs and 102 principal cities in 2013. See Codebook for a more complete description of the datasets, data sources, survey questions, and methods. See the Center for Policy Informatics at Arizona State University website at policyinformatics.asu.edu/broadband-data-portal/home for visualization (maps and graphs) and for further information about this project.

analyze the current population survey (cps) annual social and economic supplement (asec) with r the annual march cps-asec has been supplying the statistics for the census bureau's report on income, poverty, and health insurance coverage since 1948. wow. the us census bureau and the bureau of labor statistics ( bls) tag-team on this one. until the american community survey (acs) hit the scene in the early aughts (2000s), the current population survey had the largest sample size of all the annual general demographic data sets outside of the decennial census - about two hundred thousand respondents. this provides enough sample to conduct state- and a few large metro area-level analyses. your sample size will vanish if you start investigating subgroups b y state - consider pooling multiple years. county-level is a no-no. despite the american community survey's larger size, the cps-asec contains many more variables related to employment, sources of income, and insurance - and can be trended back to harry truman's presidency. aside from questions specifically asked about an annual experience (like income), many of the questions in this march data set should be t reated as point-in-time statistics. cps-asec generalizes to the united states non-institutional, non-active duty military population. the national bureau of economic research (nber) provides sas, spss, and stata importation scripts to create a rectangular file (rectangular data means only person-level records; household- and family-level information gets attached to each person). to import these files into r, the parse.SAScii function uses nber's sas code to determine how to import the fixed-width file, then RSQLite to put everything into a schnazzy database. you can try reading through the nber march 2012 sas importation code yourself, but it's a bit of a proc freak show. this new github repository contains three scripts: 2005-2012 asec - download all microdata.R down load the fixed-width file containing household, family, and person records import by separating this file into three tables, then merge 'em together at the person-level download the fixed-width file containing the person-level replicate weights merge the rectangular person-level file with the replicate weights, then store it in a sql database create a new variable - one - in the data table 2012 asec - analysis examples.R connect to the sql database created by the 'download all microdata' progr am create the complex sample survey object, using the replicate weights perform a boatload of analysis examples replicate census estimates - 2011.R connect to the sql database created by the 'download all microdata' program create the complex sample survey object, using the replicate weights match the sas output shown in the png file below 2011 asec replicate weight sas output.png statistic and standard error generated from the replicate-weighted example sas script contained in this census-provided person replicate weights usage instructions document. click here to view these three scripts for more detail about the current population survey - annual social and economic supplement (cps-asec), visit: the census bureau's current population survey page the bureau of labor statistics' current population survey page the current population survey's wikipedia article notes: interviews are conducted in march about experiences during the previous year. the file labeled 2012 includes information (income, work experience, health insurance) pertaining to 2011. when you use the current populat ion survey to talk about america, subract a year from the data file name. as of the 2010 file (the interview focusing on america during 2009), the cps-asec contains exciting new medical out-of-pocket spending variables most useful for supplemental (medical spending-adjusted) poverty research. confidential to sas, spss, stata, sudaan users: why are you still rubbing two sticks together after we've invented the butane lighter? time to transition to r. :D