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Data Requests

The National Compensation Survey (NCS) is used to produce labor cost changes through the Employment Cost Index (ECI) and the average costs per hour worked through the Employer Costs for Employee Compensation (ECEC). The NCS also provides estimates on the incidence and provisions of benefits by the percentage of workers with access to and participating in employer-sponsored benefit plans through the Employee Benefits in the United States. The survey covers a broad range of benefits including holidays and vacations, sick leave, health and life insurance, and retirement plans. Benefit plan details of employer-provided health and retirement plan provisions are also available.

The latest data can be accessed from the:

Databases and
News releases.

In some circumstances, BLS can provide estimates not available through NCS publications. When requests for unpublished data are received, they are evaluated and processed based on resource availability and the complexity of the request. The NCS is not designed to produce estimates for individual states. All tabulations of data are reviewed for reliability and confidentiality prior to release, which may limit the data provided. The NCS can be used to produce estimates by aggregate occupational and industry groups, census regions and divisions, the fifteen largest combined statistical areas and metropolitan statistical areas, and by various worker characteristics (such as work status, bargaining status, and basis of pay).

When making a data request, users should provide a detailed explanation of the scope that includes ownership (civilian, private, and state and local government), industry group(s) or industry, occupational group(s) or occupation, worker and establishment characteristics, and reference period. This detailed explanation will expedite the evaluation. Once we receive the request, we will evaluate it and contact you regarding an expected timeframe for tabulation, review, and clearance. All estimates are evaluated to ensure respondent confidentiality and estimate reliability. In cases where the level of detail requested does not meet publication criteria, BLS staff will contact you with possible alternatives including on-site microdata access. Access to restricted microdata requires a well-defined research proposal that will be thoroughly reviewed as explained on the BLS Restricted Data Access page.

Please review the list of fulfilled requests prior to submitting a tabulation data request. To submit a request, complete the NCS online form, enter “data request” in the subject line and indicate the scope of the request. BLS staff evaluating the request will respond and ask for clarification, if necessary. These tabulations can take anywhere from four to eight weeks to produce, review, and fulfill.

For an explanation of survey design, calculation and weighting methodology, and history of the NCS see the National Compensation Measures in the Handbook of Methods.

Examples of previously fulfilled requests are listed below, in order to demonstrate the level of detail that can be provided outside of the NCS publications. All data tables on this page are unpublished except by special request.

National Compensation Survey (NCS)

Average leveling points for six-digit occupations ▸

This table provides the average leveling points for 2010 SOC based six-digit occupations in the National Compensation Survey, which gives an idea of the work level of the duties and responsibilities of the job. It was created by totaling up and averaging the leveling points from the four leveling factors for jobs in the March 2021 reference period.

(2018 XLSX table)

(2021 XLSX table)

Average total number of leveling points by occupation, March 2021
SOC	Occupation (click on a cell below to see its full text above)	Total Level Points		Knowledge		Job Controls and Complexity		Contacts		Physical Environment
SOC		Mean	%RSE^[1]	Mean	%RSE^[1]	Mean	%RSE^[1]	Mean	%RSE^[1]	Mean	%RSE^[1]
000000	All Levelable Occupations	1003	1.1	477	1.2	451	1.1	53	0.7	23	0.7
111021	General and operations managers	2131	2.9	1038	2.7	1006	3.6	74	2.5	14	6.8
112021	Marketing managers	2667	4.0	1281	4.4	1283	4.1	92	8.2	11	4.8
112022	Sales managers	2310	4.9	1145	5.1	1082	5.2	72	4.5	11	5.4
113011	Administrative services managers	2186	6.0	1061	6.0	1029	5.7	84	12.7	12	10.2
113021	Computer and information systems managers	2699	3.9	1363	3.1	1239	5.9	85	13.1	12	10.1
113031	Financial managers	2154	2.4	1070	2.3	997	3.0	77	1.9	10	1.7
119021	Construction managers	2213	3.2	1073	3.9	1036	3.4	85	10.5	18	7.2
119032	Education administrators, elementary and secondary school	2446	2.9	1252	1.2	1104	5.8	79	4.4	11	5.9
Footnotes: [1] The %RSE is the percent relative standard error, which is the standard error of the mean, expressed as a percent of the mean. [-] A dash means the cell failed to meet publication criteria.
Note: The sum of the means of the four factors may not equal the mean of the total level points, due to rounding. Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Benefits

Percent of civilian workers with access to select benefits by minor occupational group (XLSX)

Access to paid sick leave benefits by industry (XLSX) ▸

Percentage of private industry workers with access to paid sick leave by 3-digit industry group, March 2019 - 2020
Industry (1)	2019		2020
Industry (1)	Estimate	Standard error	Estimate	Standard error
All workers	73	1.0	75	0.8
Oil and gas extraction	100	0.0	100	0.0
Mining (except oil and gas)	84	8.8	-	-
Support activities for mining	72	16.7	87	8.7
Utilities	95	2.8	96	2.8
Construction of buildings	57	5.7	56	6.2
Heavy and civil engineering construction	53	5.9	54	6.5
Specialty trade contractors	60	2.8	67	2.5
Food manufacturing	76	5.3	74	4.2
Beverage and tobacco product manufacturing	89	9.3	99	1.5
Apparel Manufacturing	78	9.0	-	-
Wood product manufacturing	68	7.7	53	15.4
Paper manufacturing	73	11.8	72	14.5
Printing and related support activities	73	10.0	77	8.0
Petroleum and coal products manufacturing	100	0.0	100	0.0
Chemical manufacturing	86	5.8	88	3.3
Plastic and rubber products manufacturing	80	5.6	75	6.0
Nonmetallic mineral product manufacturing	68	19.9	77	15.9
Primary metal manufacturing	83	7.6	88	9.9
Fabricated metal product manufacturing	61	6.2	70	3.0
Machinery manufacturing	74	8.1	76	6.2
Computer and electronic product manufacturing	99	0.6	99	0.7
Electrical equipment, appliance, and component manufacturing	90	7.6	97	2.3
Transportation equipment manufacturing	88	3.1	95	2.3
Furniture and related product manufacturing	57	10.8	50	8.4
Miscellaneous manufacturing	85	6.6	96	3.0
Merchant wholesalers, durable goods	88	1.8	88	2.1
Merchant wholesalers, nondurable goods	83	3.6	88	2.0
Wholesale electronic markets and agents and brokers	91	4.6	82	4.1
Motor vehicle and parts dealers	66	4.2	69	4.3
Furniture and home furnishings stores	52	11.9	48	10.4
Electronics and appliance stores	75	6.5	74	9.4
Building material and garden equipment and supplies dealers	68	4.2	74	5.0
Food and beverage stores	61	3.9	62	3.2
Health and personal care stores	53	5.5	55	6.8
Gasoline stations	47	7.6	45	7.4
Clothing and clothing accessories stores	51	7.5	52	6.8
Sporting goods, hobby, book, and music stores	62	5.6	44	10.6
General merchandise stores	74	3.3	-	-
Miscellaneous store retailers	69	4.6	68	6.9
Nonstore retailers	97	1.8	87	8.6
Air transportation	100	0.0	100	0.0
Rail transportation	75	21.7	73	21.8
Truck transportation	53	8.3	65	6.6
Transit and ground passenger transportation	54	9.4	60	12.7
Support activities for transportation	78	8.9	85	7.6
Warehousing and storage	93	2.6	96	2.7
Publishing industries (except Internet)	97	0.8	98	1.1
Motion Picture and Sound Recording Industries	68	10.1	-	-
Broadcasting (except Internet)	91	4.9	92	5.4
Telecommunications	100	0.0	98	1.7
Internet service providers, web search portals, and data processing services	100	0.5	100	0.4
Other information services	87	6.3	85	8.3
Credit intermediation and related activities	98	0.3	98	0.5
Securities, commodity contracts, and other financial investments and related activities	95	1.5	95	1.6
Insurance carriers and related activities	96	1.0	97	0.6
Real estate	80	4.3	79	3.5
Rental and leasing services	62	6.8	82	7.4
Professional, scientific, and technical services	91	2.4	93	1.8
Management of companies and enterprises	94	2.9	94	3.2
Administrative and support services	55	3.5	58	3.7
Waste management and remediation services	89	4.7	88	5.9
Educational services	79	2.5	81	3.0
Ambulatory health care services	85	3.2	84	5.2
Hospitals	95	1.1	95	0.8
Nursing and residential care facilities	79	4.0	80	3.4
Social assistance	75	8.1	74	5.4
Museums, Historical Sites, and Similar Institutions	80	10.1	-	-
Amusement, gambling, and recreation industries	57	6.5	59	8.6
Accommodation	72	7.2	72	8.4
Food services and drinking places	39	4.2	46	4.0
Repair and maintenance	56	5.2	71	4.4
Personal and laundry services	43	8.1	57	8.4
Religious, grant making, civic, professional, and similar organizations	74	5.1	73	5.1
Footnotes: (1) Industries are defined using the 2017 North American Industry Classification System (NAICS). (-) Dash indicates data did not meet publication criteria.
See Paid sick leave: What is available to workers? for additional information. Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Access to paid sick leave benefits by geographic area (XLSX) ▸

Percentage of private industry workers with access to paid sick leave access by area, March 2019
Area (1), (2)	Estimate	Standard error
United States (3)	73	1.0
Northeast Region (3)	76	1.2
New England Division (3)	81	3.4
Rest of New England Division	77	2.9
Boston-Worcester-Providence, MA-RI-NH-CT CSA	86	4.8
Middle Atlantic Division (3)	75	1.9
Rest of Middle Atlantic Division	70	5.3
Philadelphia-Reading-Camden, PA-NJ-DE-MD CSA	73	3.5
New York-Newark, NY-NJ-CT-PA CSA	78	2.1
South Region (3)	68	2.1
South Atlantic Division (3)	68	2.6
Rest of South Atlantic Division	66	3.4
Atlanta-Athens-Clarke County-Sandy Springs, GA CSA	70	2.0
Miami-Fort Lauderdale-West Palm Beach, FL	76	1.2
Washington-Baltimore-Arlington, DC-MD-VA-WV-PA CSA	73	7.1
East South Central Division (3)	62	5.0
Rest of East South Central Division	62	4.9
West South Central Division (3)	71	4.2
Rest of West South Central Division	70	5.7
Dallas-Fort Worth, TX-OK CSA	76	6.4
Houston-The Woodlands, TX CSA	66	8.9
Midwest Region (3)	66	1.4
East North Central Division (3)	65	1.8
Rest of East North Central Division	64	1.9
Chicago-Naperville, IL-IN-WI CSA	65	4.7
Detroit-Warren-Ann Arbor, MI CSA	65	6.9
West North Central Division (3)	70	1.9
Rest of West North Central Division	65	2.0
Minneapolis-St. Paul, MN-WI CSA	87	3.4
West Region (3)	86	1.5
Mountain Division (3)	75	1.9
Rest of Mountain Division	73	1.6
Phoenix-Mesa-Scottsdale, AZ MSA	85	6.8
Pacific Division (3)	91	1.8
Rest of Pacific Division	86	4.3
Los Angeles-Long Beach, CA CSA	93	2.1
San Jose-San Francisco-Oakland, CA CSA	95	0.9
Seattle-Tacoma, WA CSA	90	2.5
Footnotes: (1) These areas include Consolidated Statistical Areas (CSAs), Metropolitan Statistical Areas (MSAs), and 9 sampling areas used by the National Compensation Survey. Area definitions are based on Office of Management and Budget Bulletin No. 13-01, dated February 28, 2013. (2) Census division definitions are available in the concepts section of the Handbook of Methods. The 'rest of' refers to the census division with the corresponding CSA or MSA excluded for the area. (3) These estimates are included in the Employee Benefits in the United States, March 2019 and are provided here as a basis of comparison to other areas.
Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Leave benefits in the New York-Newark, NY-NJ-CT-PA Combined Statistical Area ▸

Access to leave benefits (XLSX) ▸

Percentage of private industry workers with access to leave benefits in the New York-Newark, NY-NJ-CT-PA Combined Statistical Area, March 2018
Leave category	Access	Standard Error
Paid holidays	79	1.7
Paid sick leave	78	1.6
Paid vacations	78	1.7
Paid personal leave	52	2.2
Paid funeral leave	60	3.3
Paid jury duty leave	71	4.0
Paid military leave	36	2.2
Paid family leave	29	1.9
Unpaid family leave	86	1.2
Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Number of annual paid vacation days by service requirement (XLSX) ▸

Number of annual paid vacation days by service requirement for private industry workers in the New York-Newark, NY-NJ-CT-PA Combined Statistical Area, March 2018
Service requirement after 1 year	Estimate	Standard Error
Less than 5 days	6.0	0.9
5 to 9 days	24	1.9
10 to 14 days	42	2.0
15 to 19 days	17	1.4
20 to 24 days	9	0.9
Greater than 24 days	2.0	0.6
Mean number of days	11	0.2
Median number of days	10	0.8
Service requirement after 5 years
Less than 5 days	-	-
5 to 9 days	8	1.0
10 to 14 days	25	1.7
15 to 19 days	41	2.0
20 to 24 days	19	1.5
Greater than 24 days	6.0	1.0
Mean number of days	15	0.2
Median number of days	15	0.7
Service requirement after 10 years
Less than 5 days	-	-
5 to 9 days	4	0.6
10 to 14 days	16	1.5
15 to 19 days	32	1.6
20 to 24 days	35	2.3
Greater than 24 days	12	1.3
Mean number of days	17	0.2
Median number of days	17	1.2
Service requirement after 20 years
Less than 5 days	-	-
5 to 9 days	4	0.6
10 to 14 days	12	1.5
15 to 19 days	17	1.2
20 to 24 days	40	2.1
Greater than 24 days	26	2.2
Mean number of days	19	0.3
Median number of days	20	1.0
Note: Dashes indicate data not available. U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Access and average number of paid days off by length of service for consolidated leave plans ▸

Access and average number of paid days off by length of service for consolidated leave plans for private industry workers in the New York-Newark, NY-NJ-CT-PA Combined Statistical Area, March 2018
Estimate type	With consolidated leave plan					With no consolidated leave plan
	Access (%)	Paid days by length of service (mean number of days)				Access (%)	Paid days by length of service (mean number of days)
	Access (%)	1 year	5 years	10 years	20 years	Access (%)	1 year	5 years	10 years	20 years
Estimate	27	14	19	21	23	73	10	14	16	18
Standard error	2.3	0.6	0.5	0.4	0.5	2.3	0.2	0.2	0.2	0.3
Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Access to leave benefits by worker and establishment characteristics (XLSX)

Access to sick leave for state and local government protective service occupations ▸

Percentage of state and local government workers in protective service occupations with access to sick leave, March 2018
Compensation component	Estimate	Standard error
Access to sick leave	91%	1.2
Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Retirement benefits: Access, participation, and take-up rates in elementary and secondary schools ▸

Retirement Benefits: Access, participation, and take-up rates for workers in elementary and secondary schools, March 2021
Compensation component	State and local government		Private industry
Compensation component	Estimate	Standard error	Estimate	Standard error
All retirement
Access	93	0.5	75	4.0
Participation	83	0.9	61	3.8
Take-up rate	89	0.9	82	3.6
Defined benefit
Access	92	0.5	26	5.6
Participation	82	1.1	22	4.7
Take-up rate	88	1.0	85	6.0
Defined contribution
Access	29	1.1	60	5.9
Participation	8	0.5	45	5.6
Take-up rate	29	1.7	74	4.5
Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Access to disability insurance combinations ▸

Percent of civilian workers with access to disability insurance benefit combinations, March 2017
Occupational group	Both short- and long-term disability insurance		Only short-term disability insurance		Only long-term disability insurance		Without access to disability insurance
Occupational group	Estimate	Standard error	Estimate	Standard error	Estimate	Standard error	Estimate	Standard error
All Workers	23.4	0.5	15.4	0.5	10.6	0.5	50.6	0.7
Management, professional, and related	34.6	1.1	11.8	0.7	18.4	0.9	35.2	1.3
Service	8.3	0.8	15.0	1.1	5.2	0.4	71.4	1.4
Sales and office	23.5	0.9	16.1	0.7	9.5	0.6	51.0	0.9
Natural resources, construction, and maintenance	19.1	1.2	16.7	1.4	6.6	0.8	57.6	1.7
Production, transportation, and material moving	23.9	1.2	21.4	1.3	6.2	0.6	48.5	1.4
Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Average number of paid sick days by length of service for private industry workers in the Pacific region (XLSX)
Percent of private industry workers with access to paid Martin Luther King's birthday holiday (XLSX)

Incentive-based pay: Participation rate and average hourly wage (XLSX) ▸

Percent of private industry workers participating in incentive-based pay and average hourly wage, March 2015
Occupational group	Percent of employment with incentive-pay provisions		Average hourly wage
Occupational group	Estimate (%)	Standard error	Estimate ($)	Standard error
Management Occupations	51	1.8	74.69	9.81
Business and Financial Operations Occupations	58	2.4	40.92	1.20
Computer and Mathematical Occupations	58	3.0	47.47	1.29
Architecture and Engineering Occupations	57	3.6	45.37	1.38
Life, Physical, and Social Science Occupations	60	4.4	37.99	3.04
Community and Social Service Occupations	21	5.5	22.05	0.97
Legal Occupations	69	5.4	46.97	4.66
Education, Training, and Library Occupations	20	4.2	36.26	2.61
Arts, Design, Entertainment, Sports, and Media Occupations	30	3.8	32.11	2.30
Healthcare Practitioners and Technical Occupations	37	2.5	38.36	4.60
Healthcare Support Occupations	24	3.7	15.32	0.55
Protective Service Occupations	30	6.1	15.76	0.99
Note: Dash indicates data did not meet publication criteria. Source: U.S. Bureau of Labor Statistics, National Compensation Survey, unpublished data.

Additional Special Data Requests

Employment Cost Index (ECI)

Employer Costs for Employee Compensation (ECEC)

Last Modified Date: October 1, 2024