knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
This package contains several data files that I use frequently. I will try to update the quarterly files once each quarter, and the annual files once each year.
sgtax.a
: state government tax revenue, annual - selected US-only data 1902-1940, selected US and states 1942 to latest year
slgemp
: state and local government employment (state-local, state, local), annual 1979-2013
slgfin
: state and local government finances (state-local, state, local), annual - selected years 1902-2013
sgrev
: state government revenue data, annual - pulled from the Williamette database
nasbofcerr
: NASBO forecast error data, annual
nasboxr
: NASBO Expenditure Report data, annual
soiall
: Statistics of Income (IRS) data by state, selected variables, annual 2004-2013
spi.a
: state personal income, annual - 1929 to latest
spi.q
: state personal income, quarterly - 1948q1 to latest
spop.a
: state population, annual - 1900 to latest
spop.q
: state population, quarterly (interpolated). I may replace this with the new BEA quarterly state population data, which they have developed from unpublished Census Bureau data.
spovrates
: state poverty rates, annual
landarea
: state and county total, land, and water area, as well as Census 2010 SF1 population and housing, unrevised
recessions
: for each recession, peak (first day of month), trough (first day of month), year (i.e., name), first day of peak quarter, first day of end quarter
stcodes
: state codes - state postal abbreviation, FIPS code, Census code, state name, BEA region abbreviation, BEA region name
statemap_labels
: longitude and latitude points that are appropriate for centering state abbreviation or state name labels on a U.S. map created by usmap::us_map()
Install bdata from github with:
```R devtools::install_github("donboyd5/bdata") ```
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