This provides low income (<$40,000 salary) job loss estimates by industry for every 2018 Census CBSA in the US (excluding Puerto Rico, Guam, and other territories) due to Covid-19. Couple of notes about the data:
- The attributes in the file starting with
Xcorrespond to LEHD industry codes, and the translation list can be found in industry_code_translation_list.csv.
- These estimates for jobs loss are based on place of residence for workers. So when we report that 100 low income jobs are lost in CBSA
j, this means that there are 100 workers who live in CBSA
jthat have lost low income jobs.
- The columns labelled
tmaxare the max values by tract and industry within counties/cbsas and only used for data visualization. Most users can safely ignore these columns as they were for our internal use in the data viz
- Every row in the CSV is a unique census CBSA.
Below is a description of each of the columns in the data:
cbsa: The 5 digit FIPS code for the CBSA
cbsa_name: Human readable CBSA name
state_name: Full state name
X20: Number of estimated low income jobs lost in that particular industry by residents of that particular CBSA. The translation from X01 to human readable industries can be found in
X000: The total number of low income jobs lost by residents of that particular CBSA
tmax: bucketed max values by tract and industry, can be safely ignored
total_li_workers_employed: Total number of low income workers who live in that CBSA
low_income_worker_job_loss_rate: The percentage of all low income jobs that are lost, or
total_li_workers_employed. The numerator is our estimated jobs lost and the denominator is the total number of low income (<$40k salary) jobs as estimated by the Census LODES data. Note this number may be slightly off due to rounding