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Feb 2023
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Number of US Employees on Nonfarm Payrolls - Monthly Change
US NonFarm Payroll
rose
311,000 in Feb
Released:
10-Mar-23
| Next Release:
07-Apr-23
Feb 2023
311,000
Jan 2023
504,000
Change
-193,000
1 Year
3 Years
5 Years
The Current Employment Statistics (CES) program produces detailed industry estimates of nonfarm employment, hours, and earnings of workers on payrolls. CES National Estimates produces data for the nation, and CES State and Metro Area produces estimates for all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, and about 450 metropolitan areas and divisions.
View Full Release from U.S. Bureau of Labor Statistics
Source: U.S. Bureau of Labor Statistics
©theFinancials.com
View Full Release
Date
Value
01-Jan-2018
176000
01-Feb-2018
324000
01-Mar-2018
155000
01-Apr-2018
175000
01-May-2018
268000
01-Jun-2018
208000
01-Jul-2018
165000
01-Aug-2018
286000
01-Sep-2018
119000
01-Oct-2018
274000
01-Nov-2018
196000
01-Dec-2018
227000
01-Jan-2019
312000
01-Feb-2019
56000
01-Mar-2019
153000
01-Apr-2019
193000
01-May-2019
62000
01-Jun-2019
178000
01-Jul-2019
166000
01-Aug-2019
219000
01-Sep-2019
193000
01-Oct-2019
152000
01-Nov-2019
262000
01-Dec-2019
184000
01-Jan-2020
214000
01-Feb-2020
230000
01-Mar-2020
-1400000
01-Apr-2020
-20800000
01-May-2020
2725000
01-Jun-2020
4781000
01-Jul-2020
1761000
01-Aug-2020
1493000
01-Sep-2020
711000
01-Oct-2020
654000
01-Nov-2020
264000
01-Dec-2020
-306000
01-Jan-2021
520000
01-Feb-2021
710000
01-Mar-2021
704000
01-Apr-2021
263000
01-May-2021
447000
01-Jun-2021
557000
01-Jul-2021
689000
01-Aug-2021
517000
01-Sep-2021
424000
01-Oct-2021
677000
01-Nov-2021
647000
01-Dec-2021
588000
01-Jan-2022
364000
01-Feb-2022
904000
01-Mar-2022
414000
01-Apr-2022
254000
01-May-2022
364000
01-Jun-2022
370000
01-Jul-2022
568000
01-Aug-2022
352000
01-Sep-2022
350000
01-Oct-2022
324000
01-Nov-2022
290000
01-Dec-2022
239000
01-Jan-2023
504000
01-Feb-2023
311000
Number of US Employees on Nonfarm Payrolls - Monthly Change
Data Series Details
Last File Update:
10-Mar-2023
Frequency:
Monthly
Start Date:
01-Jan-2018
End Date:
01-Feb-2023
Length:
5 years
# of Records:
62
Data Download
CSV
Number of US Employees on Nonfarm Payrolls - Monthly Change
Non-Farm Payroll figures are expressed as the number of jobs added to the US economy in a given month, excluding farm workers.
This news release presents statistics from two major surveys, the Current Population Survey (CPS; household survey) and the Current Employment Statistics survey (CES; establishment survey). The household survey provides information on the labor force, employment, and unemployment that appears in the "A" tables, marked HOUSEHOLD DATA. It is a sample survey of about 60,000 eligible households conducted by the U.S. Census Bureau for the U.S. Bureau of Labor Statistics (BLS).
The establishment survey provides information on employment, hours, and earnings of employees on nonfarm payrolls; the data appear in the "B" tables, marked ESTABLISHMENT DATA. BLS collects these data each month from the payroll records of a sample of nonagricultural business establishments. Each month the CES program surveys about 141,000 businesses and government agencies, representing approximately 486,000 individual worksites, in order to provide detailed industry data on employment, hours, and earnings of workers on nonfarm payrolls. The active sample includes approximately one-third of all nonfarm payroll employees.
For both surveys, the data for a given month relate to a particular week or pay period. In the household survey, the reference period is generally the calendar week that contains the 12th day of the month. In the establishment survey, the reference period is the pay period including the 12th, which may or may not correspond directly to the calendar week.
Coverage, definitions, and differences between surveys
Household survey. The sample is selected to reflect the entire civilian noninstitutional population. Based on responses to a series of questions on work and job search activities, each person 16 years and over in a sample household is classified as employed, unemployed, or not in the labor force.
People are classified as employed if they did any work at all as paid employees during the reference week; worked in their own business, profession, or on their own farm; or worked without pay at least 15 hours in a family business or farm. People are also counted as employed if they were temporarily absent from their jobs because of illness, bad weather, vacation, labor-management disputes, or personal reasons.
People are classified as unemployed if they meet all of the following criteria: they had no employment during the reference week; they were available for work at that time; and they made specific efforts to find employment sometime during the 4-week period ending with the reference week. Persons laid off from a job and expecting recall need not be looking for work to be counted as unemployed. The unemployment data derived from the household survey in no way depend upon the eligibility for or receipt of unemployment insurance benefits.
The civilian labor force is the sum of employed and unemployed persons. Those not classified as employed or unemployed are not in the labor force. The unemployment rate is the number unemployed as a percent of the labor force. The labor force participation rate is the labor force as a percent of the population, and the employment-population ratio is the employed as a percent of the population. Additional information about the household survey can be found at www.bls.gov/cps/documentation.htm.
Establishment survey. The sample establishments are drawn from private nonfarm businesses such as factories, offices, and stores, as well as from federal, state, and local government entities. Employees on nonfarm payrolls are those who received pay for any part of the reference pay period, including persons on paid leave. Persons are counted in each job they hold. Hours and earnings data are produced for the private sector for all employees and for production and nonsupervisory employees. Production and nonsupervisory employees are defined as production and related employees in manufacturing and mining and logging, construction workers in construction, and nonsupervisory employees in private service-providing industries.
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Jan 2023
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US Durable Goods New Orders - Seasonally Adjusted
Durable Goods Total New Orders
fell
4.5% in Jan, the largest drop since Apr 2020
Released:
07-Mar-23
| Next Release:
04-Apr-23
Jan 2023
-4.5%
Dec 2022
5.1%
Change
-9.6%
1 Year
3 Years
5 Years
Full Report:
The Manufacturers' Shipments, Inventories, and Orders (M3) survey provides broad-based, monthly statistical data on economic conditions in the domestic manufacturing sector. The survey measures current industrial activity and provides an indication of future business trends.
View Full Release from USCB
Source: USCB
©theFinancials.com
View Full Release
Date
Value
01-Dec-2017
249067
01-Jan-2018
240095
01-Feb-2018
246039
01-Mar-2018
252760
01-Apr-2018
250109
01-May-2018
249374
01-Jun-2018
251499
01-Jul-2018
248571
01-Aug-2018
260223
01-Sep-2018
260178
01-Oct-2018
248945
01-Nov-2018
251197
01-Dec-2018
254449
01-Jan-2019
254662
01-Feb-2019
249569
01-Mar-2019
253834
01-Apr-2019
246609
01-May-2019
240923
01-Jun-2019
245231
01-Jul-2019
250328
01-Aug-2019
250733
01-Sep-2019
247059
01-Oct-2019
247442
01-Nov-2019
239718
01-Dec-2019
250345
01-Jan-2020
250236
01-Feb-2020
246195
01-Mar-2020
205020
01-Apr-2020
167502
01-May-2020
192605
01-Jun-2020
207474
01-Jul-2020
231914
01-Aug-2020
232933
01-Sep-2020
237786
01-Oct-2020
242098
01-Nov-2020
245247
01-Dec-2020
248307
01-Jan-2021
257242
01-Feb-2021
246261
01-Mar-2021
249467
01-Apr-2021
247644
01-May-2021
255529
01-Jun-2021
257663
01-Jul-2021
258846
01-Aug-2021
262317
01-Sep-2021
261353
01-Oct-2021
261728
01-Nov-2021
270039
01-Dec-2021
273281
01-Jan-2022
277490
01-Feb-2022
262494
01-Mar-2022
264258
01-Apr-2022
265376
01-May-2022
267533
01-Jun-2022
273571
01-Jul-2022
273203
01-Aug-2022
273841
01-Sep-2022
274399
01-Oct-2022
276366
01-Nov-2022
271403
01-Dec-2022
285249
01-Jan-2023
272402
US Durable Goods New Orders - Seasonally Adjusted
Data Series Details
Last File Update:
07-Mar-2023
Frequency:
Monthly
Start Date:
01-Dec-2017
End Date:
01-Jan-2023
Length:
5 years
# of Records:
62
Data Download
CSV
US Durable Goods New Orders - Seasonally Adjusted
Total US durable goods new orders, seasonaly adjusted.
This report is compiled from results of the U.S. Census Bureau's Manufacturers' Shipments, Inventories, and Orders (M3) survey. This survey provides statistics on manufacturers' value of shipments, new orders (net of cancellations), end-of-month order backlog (unfilled orders), end-of-month total inventory (at current cost or market value), and inventories by stage of fabrication (materials and supplies, work-in-process, and finished goods). The M3 includes approximately 4,300 reporting units. Units may be divisions of diversified large companies, large homogenous companies, or single-unit manufacturers in 89 industry categories. Due to the small monthly sample, these 89 categories have been combined into 65 publication levels. The survey methodology assumes that the month-to-month changes of the total operations of those companies in the monthly survey effectively represent the month-to-month movements of all establishments that make up the category. The current coverage levels in the survey show that reported data in the monthly survey represent approximately 60 percent of the shipments estimates at the total manufacturing level. Data published represent manufacturing in a calendar month. The data collection is based on a voluntary survey authorized by Title 13 of the United States Code.
The data presented in this release are based on data obtained from a panel of 4,300 reporting units and provide an indication of the activity within the manufacturing sector. The results differ from what would be obtained from a complete enumeration of all manufacturing companies. In addition, a different panel of 4,300 companies would yield different results. The M3 panel is comprised of companies with $500 million or more in shipments and a limited number of smaller companies. From a statistical perspective, the panel is not a probability sample; therefore, the sampling errors that are normally provided with sample surveys cannot be measured. Nonsampling errors are attributable to many sources. The use of company or divisional reports to estimate the monthly change for establishments is one source of nonsampling error. The use of primarily large companies to represent the month-to-month movement of all companies is another potential source. Any corrections will be published in the full report. Corrections received after the full report will be released in the next month's advance report. Any revisions made later than two months will be reflected in the annual benchmark publication.
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