State and Area Employment, Hours and Earnings - SA

Data - BLS

Last compile: 05 sept. 2026, 23:17

sa.area

sa.area %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

sa.state

sa.state %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

sa.data_type

sa.data_type %>%
  {if (is_html_output()) print_table(.) else .}

data_type_code	data_type_text
1	All Employees, In Thousands
2	Women Workers, In Thousands
3	Production Workers, In Thousands
4	Average Weekly Earnings, In Dollars
5	Average Weekly Hours
6	Average Hourly Earnings, In Dollars
7	Average Overtime Hours

sa.detail

sa.detail %>%
  {if (is_html_output()) print_table(.) else .}

detail_code	detail_name
0	Total Nonagricultural
1	A 1-digit Industry (Industry Division)
2	A 2-digit Industry
3	A 3-digit Industry
4	A 4-digit Industry
5	A Combination Of Industry Divisions
6	A Combination Of Industries
7	State Specific
8	A Regular Atypical Cell
9	A Residual Cell

Longest Series

sa.series |>
  arrange(begin_year) |>
  head(100) |>
  select(series_id, begin_period, end_period) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}