Includes: - API v1/v2 documentation, endpoints, request/response schemas - Complete survey catalog (60 surveys, live-fetched from API) - Series ID decode tables: LAUS, CES, SM, QCEW, OES, JOLTS, CPI, PPI - QCEW quarterly (47 fields) and annual (43 fields) CSV schemas - dc_md_va_unemployment.py: pulls 16 LAUS series for DC/MD/VA + DC MSA - Example API response and 5-year CSV output Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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BLS Series ID Formats
Series IDs are the primary key for every BLS API call and bulk data file. All IDs use a two-letter survey prefix followed by survey-specific coded segments.
LAUS — Local Area Unemployment Statistics (prefix: LA)
Series ID: LA[S][AAAAAAAAAAAAAAA][MM]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | Always LA |
| 3 | 1 | Seasonal adj | S=seasonally adjusted, U=unadjusted |
| 4-18 | 15 | Area code | See area type prefixes below |
| 19-20 | 2 | Measure code | See table below |
Area code prefixes:
| Prefix | Geography |
|---|---|
ST |
State (2-digit FIPS + 12 zeros) |
MT |
Metropolitan statistical area |
MD |
Metro division |
CN |
County (5-digit FIPS + 10 zeros) |
CS |
City/sub-county |
RD |
Region/division |
Measure codes:
| Code | Measure |
|---|---|
| 03 | Unemployment rate |
| 04 | Unemployment (level) |
| 05 | Employment |
| 06 | Labor force |
| 07 | Employment-population ratio |
| 08 | Labor force participation rate |
| 09 | Civilian noninstitutional population |
Examples:
LAUST110000000000003 → DC, state, seasonally adj, unemployment rate
LAUST110000000000005 → DC, state, seasonally adj, employment
LAUCN110010000000003 → DC County, unadjusted, unemployment rate
CES — Current Employment Statistics, National (prefix: CE)
Series ID: CE[S/U][IIIIIIII][DD]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | CE (national) or SM (state/metro) |
| 3 | 1 | Seasonal adj | S=seasonally adjusted, U=unadjusted |
| 4-11 | 8 | Industry code | Supersector (2) + NAICS-derived (6) |
| 12-13 | 2 | Data type | See table below |
Industry code — supersector first 2 digits:
| Code | Supersector |
|---|---|
| 00 | Total nonfarm |
| 05 | Total private |
| 06 | Goods-producing |
| 07 | Service-providing |
| 08 | Private service-providing |
| 09 | Government |
| 10 | Mining & logging |
| 20 | Construction |
| 30 | Manufacturing |
| 31 | Durable goods |
| 32 | Nondurable goods |
| 40 | Trade, transportation, utilities |
| 41 | Wholesale trade |
| 42 | Retail trade |
| 43 | Trans., warehousing, utilities |
| 50 | Information |
| 55 | Financial activities |
| 60 | Professional & business services |
| 65 | Education & health services |
| 70 | Leisure & hospitality |
| 80 | Other services |
| 90 | Government |
Data type codes (most common):
| Code | Measure |
|---|---|
| 01 | All employees (thousands) |
| 02 | Average weekly hours, all employees |
| 03 | Average hourly earnings, all employees |
| 06 | Production/nonsupervisory employees |
| 07 | Avg weekly hours, prod/nonsupervisory |
| 08 | Avg hourly earnings, prod/nonsupervisory |
| 10 | Women employees |
| 11 | Avg weekly earnings, all employees |
Examples:
CES0000000001 → Total nonfarm, SA, all employees
CES0500000001 → Total private, SA, all employees
CES3000000001 → Manufacturing, SA, all employees
CES9000000001 → Government, SA, all employees
SM — State & Metro Employment (CES State, prefix: SM)
Series ID: SM[S/U][SS][MMMMM][IIIIIIII][DD]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | SM |
| 3 | 1 | Seasonal adj | S or U |
| 4-5 | 2 | State FIPS | e.g., 11=DC, 24=MD, 51=VA |
| 6-10 | 5 | Area code | 00000=statewide; MSA codes otherwise |
| 11-18 | 8 | Industry code | Same as CES above |
| 19-20 | 2 | Data type | Same as CES above |
Examples:
SMS110000000000001 → DC statewide, SA, all employees
SMS240000000000001 → Maryland statewide, SA, all employees
QCEW — Quarterly Census of Employment & Wages (prefix: EN)
Series ID: EN[U][AAAAA][D][Z][O][IIIIII]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | EN |
| 3 | 1 | Seasonal adj | Always U (unadjusted) |
| 4-8 | 5 | Area code | US=00000; state FIPS; county FIPS |
| 9 | 1 | Data type | 1=qtrly; 2=annual |
| 10 | 1 | Size code | 0=all sizes; 1–9=specific size classes |
| 11 | 1 | Ownership code | See table below |
| 12-17 | 6 | Industry code | NAICS or supersector |
Ownership codes:
| Code | Ownership |
|---|---|
| 0 | All ownerships |
| 1 | Federal government |
| 2 | State government |
| 3 | Local government |
| 4 | International government |
| 5 | Private |
Examples:
ENU1100010510000 → DC, quarterly, all sizes, private, total all industries
ENU0000010510000 → National, quarterly, private, all industries
OES/OEWS — Occupational Employment & Wage Statistics (prefix: OE)
Series ID: OE[U][T][AAAAAAA][IIIIII][OOOOOO][DD]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | OE |
| 3 | 1 | Seasonal adj | Always U |
| 4 | 1 | Area type | N=national; S=state; M=metro; B=metro div; W=nonmetro |
| 5-11 | 7 | Area code | BLS area code (not FIPS) |
| 12-17 | 6 | Industry code | NAICS or 000000 for cross-industry |
| 18-23 | 6 | Occupation code | SOC 6-digit code or 000000 for all |
| 24-25 | 2 | Data type | See table below |
Data type codes:
| Code | Measure |
|---|---|
| 01 | Employment (thousands) |
| 02 | Employment % relative standard error |
| 03 | Hourly mean wage |
| 04 | Annual mean wage |
| 05 | Wage % relative standard error |
| 06 | Hourly 10th percentile wage |
| 07 | Hourly 25th percentile wage |
| 08 | Hourly median wage |
| 09 | Hourly 75th percentile wage |
| 10 | Hourly 90th percentile wage |
| 11 | Annual 10th percentile wage |
| 12 | Annual 25th percentile wage |
| 13 | Annual median wage |
| 14 | Annual 75th percentile wage |
| 15 | Annual 90th percentile wage |
Examples:
OEUM0000400000000000001 → National, all industries, all occupations, employment
OEUM0000400000015113201 → National, all industries, software devs, employment
JOLTS — Job Openings & Labor Turnover (prefix: JT)
Series ID: JT[S/U][IIIIII][E/J][RR][LL]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | JT |
| 3 | 1 | Seasonal adj | S or U |
| 4-9 | 6 | Industry code | NAICS supersector |
| 10 | 1 | Job status | E=total; J=job openings; H=hires; L=layoffs/discharges; Q=quits; T=total separations |
| 11-12 | 2 | Rate/level | R=rate; L=level (thousands) |
| 13-14 | 2 | Ownership | 00=total; 10=private; 20=government |
Examples:
JTS000000000000JOL → Total nonfarm, job openings, level
JTS000000000000JOR → Total nonfarm, job openings, rate
JTS000000000000HIL → Total nonfarm, hires, level
JTS000000000000TSL → Total nonfarm, total separations, level
CPI — Consumer Price Index (prefix: CU / CW / SU)
Prefixes:
CU— CPI-U (All Urban Consumers)CW— CPI-W (Urban Wage Earners)SU— Chained CPI-U (C-CPI-U)
Series ID: CU[S/U][R/S][AAAA][IIIIII]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | CU, CW, or SU |
| 3 | 1 | Seasonal adj | S=SA; U=unadjusted |
| 4 | 1 | Periodicity | R=monthly; S=semiannual |
| 5-8 | 4 | Area code | 0000=US city average; others=specific metros |
| 9-14 | 6 | Item code | Expenditure category code |
Common item codes:
| Code | Category |
|---|---|
| SA0 | All items |
| SA0E | Energy |
| SA0L1E | All items less food and energy (core) |
| SAF | Food |
| SAF1 | Food at home |
| SAF11 | Cereals and bakery products |
| SAH | Housing |
| SAH1 | Shelter |
| SAT | Transportation |
| SAM | Medical care |
Examples:
CUUR0000SA0 → US city avg, unadjusted, all items
CUSR0000SA0L1E → US city avg, SA, core (ex food & energy)
CUUR0000SAF → US city avg, unadjusted, food
PPI — Producer Price Index (prefix: WP / PC)
WP— PPI commodities (older series)PC— PPI industry data (NAICS-based, current)
Series ID (PC): PC[U][IIIIII][IIIIII]
| Pos | Length | Field | Notes |
|---|---|---|---|
| 1-2 | 2 | Prefix | PC |
| 3 | 1 | Seasonal adj | U=unadjusted (most PPI); S=SA |
| 4-9 | 6 | Industry code | NAICS 6-digit |
| 10-15 | 6 | Product code | Product within the industry |
Helpful Discovery Commands
# All surveys
curl -s "https://api.bls.gov/publicAPI/v2/surveys" | python3 -m json.tool
# Popular series for a survey
curl -s "https://api.bls.gov/publicAPI/v2/timeseries/popular?survey=LA"
# Bulk download decode tables (e.g. LAUS area codes)
curl -s "https://download.bls.gov/pub/time.series/la/la.area" | head -50
curl -s "https://download.bls.gov/pub/time.series/la/la.measure"
curl -s "https://download.bls.gov/pub/time.series/ce/ce.datatype"
curl -s "https://download.bls.gov/pub/time.series/ce/ce.supersector"
curl -s "https://download.bls.gov/pub/time.series/sm/sm.state"