In GL-Li/rawcensus2010: Extract Decennial Census and American Community Survey Data

Key message

Will be released on 8/16/2021
Technical documentation is here.
Only has 6 tables:
- P1: Race
  - 71 cells
  - Universe: Total population
- P2: Hispanic or Latino, and Not Hispanic or Latino by Race
  - 73 cells
  - Universe: Total population
- P3: Race for the Population 18 Years and Over
  - 71 cells
  - Universe: Total population 18 years and over
- P4: Hispanic or Latino, and Not Hispanic or Latino by Race for the Population 18 Years and Over
  - 73 cells
  - Universe: Total population 18 years and over
- P5: Group Quarters Population by Major Group Quarters Type
  - 10 cells
  - Universe: Population in group quarters
- H1: Occupancy Status
  - 3 cells
  - Universe: Housing units

Data structure and segmentation

Data files

As there are only a small number of tables, the data structure is very different from summary file 1. It is much simpler. All data are split into 4 files:

Geographic header file
File01 (table P1 and P2)
File02 (table P3, P4, and H1)
File03 (Table P5)

How to extract data

As the dataset is small, we will write function to extract data directly from the raw data file. No built-in data will be added to the package.

read_2020_redistricting <- function(){
    states, 
    table_contents = NULL, 
    geo_headers = NULL,
    summary_level = NULL
}

Geo_headers

The geographic header file is a fixed width file, in which each row matches that of File01, File02, and File03 by Logical Record Number, LOGRECNO, as the case in summary file 1.