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County Employment and Wages in New Mexico — Fourth Quarter 2023
Employment rose 1.1 percent in Bernalillo, New Mexico’s only large county, from December 2022 to December 2023, the U.S. Bureau of Labor Statistics reported today. (Large counties are those with annual average employment levels of 75,000 or more in 2022.) Assistant Commissioner for Regional Operations Michael Hirniak noted that the rate of employment growth in Bernalillo County ranked 204th among the 360 largest counties. (See table 1.)
National employment increased 1.5 percent over the year, with 318 of the 360 largest U.S. counties reporting gains. Hays, TX, had the largest increase in employment (+5.0 percent). Elkhart, IN, had the largest over-the-year percentage decrease in employment (-6.9 percent).
Employment in Bernalillo County stood at 347,000 in December 2023, accounting for 40.0 percent of total employment in New Mexico. Within Bernalillo County’s private industry, health care and social assistance accounted for the largest employment. Nationwide, the 360 largest counties made up 73.0 percent of total U.S. employment.
Employment and wage levels (but not over-the-year changes) are also available for the 32 counties in New Mexico with employment below 75,000. Wage levels in 30 of the 32 smaller counties were below the national average of $1,435 in the fourth quarter of 2023. (See table 2.)
Large county wage changes
The average weekly wage in Bernalillo County increased 4.5 percent from the fourth quarter of 2022 to the fourth quarter of 2023, ranking 75th among the largest U.S. counties. Nationwide, wages increased by 3.6 percent over the year. Among the 360 largest counties in the United States, 348 had over-the-year wage increases. Snohomish, WA, had the largest percentage wage increase (+18.6 percent). Merrimack, NH, had the largest over-the-year percentage decrease (-7.2 percent).
Large county average weekly wages
The average weekly wage in Bernalillo County was $1,205 in the fourth quarter of 2023, ranking 234th in the nation. Among the largest U.S. counties, 85 reported average weekly wages at or above the U.S. average in the fourth quarter of 2023. Santa Clara, CA, had the highest average weekly wage ($3,699). Average weekly wages were below the national average in the remaining 275 counties. Hidalgo, TX, had the lowest average weekly wage ($842).
Average weekly wages in New Mexico’s smaller counties
Among the 32 smaller counties in New Mexico—those with employment below 75,000—Los Alamos County ($2,271) reported an average weekly wage above the national average. Catron County ($710) reported the lowest average weekly wage in the state.
When all 33 counties in New Mexico were considered, 6 reported average weekly wages of less than $850, 12 registered wages from $850 to $949, 7 had wages from $950 to $1,049, and 8 had average weekly wages of $1,050 or higher. (See map 1.)
Map 1. Average weekly wages by county in New Mexico, fourth quarter 2023
(U.S. average = $1,385)
Additional statistics and other information
QCEW data for states have been included in this release in table 3. For additional information about quarterly employment and wages data, please read the Technical Note or visit www.bls.gov/cew.
Employment and Wages Annual Averages Online features comprehensive information by detailed industry on establishments, employment, and wages for the nation and all states. This publication is typically published in September of the following year of the reference period or shortly after the QCEW first quarter full data update. The Employment and Wages Annual Averages Online is available at www.bls.gov/cew/publications/employment-and-wages-annual-averages/.
The County Employment and Wages release for the first quarter 2024 is scheduled to be released on Wednesday, August 21, 2024.
The County Employment and Wages full data update for the first quarter 2024 is scheduled to be released on Wednesday, September 4, 2024.
Technical Note
Average weekly wage data by county are compiled under the Quarterly Census of Employment and Wages (QCEW) program, also known as the ES-202 program. The data are derived from summaries of employment and total pay of workers covered by state and federal unemployment insurance (UI) legislation and provided by State Workforce Agencies (SWAs). The average weekly wage values are calculated by dividing quarterly total wages by the average of the three monthly employment levels of those covered by UI programs. The result is then divided by 13, the number of weeks in a quarter. It is to be noted, therefore, that over-the-year wage changes for geographic areas may reflect shifts in the composition of employment by industry, occupation, and such other factors as hours of work. Thus, wages may vary among counties, metropolitan areas, or states for reasons other than changes in the average wage level. Data for all states, Metropolitan Statistical Areas (MSAs), counties, and the nation are available on the BLS web site at www.bls.gov/cew. However, data in QCEW press releases have been revised and may not match the data contained on the Bureau’s web site.
QCEW data are not designed as a time series. QCEW data are simply the sums of individual establishment records reflecting the number of establishments that exist in a county or industry at a point in time. Establishments can move in or out of a county or industry for a number of reasons–some reflecting economic events, others reflecting administrative changes.
The preliminary QCEW data presented in this release may differ from data released by the individual states as well as from the data presented on the BLS web site. These potential differences result from the states’ continuing receipt, review and editing of UI data over time. On the other hand, differences between data in this release and the data found on the BLS web site are the result of adjustments made to improve over-the-year comparisons. Specifically, these adjustments account for administrative (noneconomic) changes such as a correction to a previously reported location or industry classification. Adjusting for these administrative changes allows users to more accurately assess changes of an economic nature (such as a firm moving from one county to another or changing its primary economic activity) over a 12-month period. Currently, adjusted data are available only from BLS press releases.
Information in this release will be made available to individuals with sensory impairments upon request. Voice phone: (202) 691-5200; Telecommunications Relay Service: 7-1-1.
Table 1. Covered establishments, employment, and wages in the United States and the largest county in New Mexico, fourth quarter 2023
(1) Average weekly wages were calculated using unrounded data. (2) Percent changes were computed from employment and pay data adjusted for noneconomic county reclassifications. (3) Ranking does not include data for Puerto Rico or the Virgin Islands. (4) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
Table 2. Covered establishments, employment, and wages in the United States and all counties in New Mexico, fourth quarter 2023
(1) Average weekly wages were calculated using unrounded data. (2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands.
Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
Table 3. Covered establishments, employment, and wages by state, fourth quarter 2023
(1) Average weekly wages were calculated using unrounded data. (2) Totals for the United States do not include data for Puerto Rico or the Virgin Islands. (3) Data not included in the national ranking.
Note: Data are preliminary. Covered employment and wages includes workers covered by Unemployment Insurance (UI) and Unemployment Compensation for Federal Employees (UCFE) programs.
United States Department of Labor
