wi_raw: wi_raw sf dataframe: Wisconsin 5-Year County-Level Raw ACS...

In strm: Spatio-Temporal Regression Modeling

Description

We use two 5-year ACS county level data in Wisconsin downloaded using the tidycensus R package. The example uses raw 5-year estimates from 2013-2017 and 2014-2018 ACS data at the county-level in Wisconsin. The variables downloaded are:

• B17020_002 - Estimate: Total - Income in the past 12 months below poverty level

• B17020_001 - Estimate: Total - Poverty Status in the past 12 months.

• B23022_026 - Estimate: Total Female by Work Status by weeks worked in the past 12 months for the population 16-64 years old.

• B23022_001 - Estimate: Total: status in the past 12 months by usual hours worked per week in the past 12 months by weeks worked in the past 12 months for the population 16-64 years old (Male and Female)

Usage

data(wi_raw)

Format

An object of class sf (inherits from data.frame) with 576 rows and 7 columns.

References

Kyle Walker (2020). tidycensus: Load US Census Boundary and Attribute Data as 'tidyverse' and 'sf'-Ready Data Frames. R package version 0.9.9.5.https://CRAN.R-project.org/package=tidycensus

Examples

data(wi_raw)
class(wi_raw)
names(wi_raw)

strm documentation built on Jan. 19, 2022, 9:06 a.m.