Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in the United States increased by 22 thousand in August of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Private businesses in the United States fired -32 thousand workers in September of 2025 compared to -3 thousand in August of 2025. This dataset provides the latest reported value for - United States ADP Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States FRBOP Forecast: Non Farm Payroll: Mean: sa: Ave Monthly Change data was reported at 175.865 Person th in Jun 2018. This records an increase from the previous number of 171.978 Person th for Mar 2018. United States FRBOP Forecast: Non Farm Payroll: Mean: sa: Ave Monthly Change data is updated quarterly, averaging 162.401 Person th from Dec 2003 (Median) to Jun 2018, with 59 observations. The data reached an all-time high of 247.885 Person th in Mar 2015 and a record low of -495.238 Person th in Mar 2009. United States FRBOP Forecast: Non Farm Payroll: Mean: sa: Ave Monthly Change data remains active status in CEIC and is reported by Federal Reserve Bank of Philadelphia. The data is categorized under Global Database’s USA – Table US.G027: Current Employment Statistics Survey: Employment: Non Farm: sa: Forecast: Federal Reserve Bank of Philadelphia.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in Canada increased by 18267 thousand in July of 2025. This dataset provides - Canada Non Farm Payrolls- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Nonfarm Payrolls Private in the United States increased by 38 thousand in August of 2025. This dataset provides the latest reported value for - United States Nonfarm Payrolls - Private - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-1st data was reported at -49.000 Person th in Feb 2025. This records a decrease from the previous number of -32.000 Person th for Jan 2025. United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-1st data is updated monthly, averaging 10.000 Person th from Jan 1979 (Median) to Feb 2025, with 552 observations. The data reached an all-time high of 437.000 Person th in Nov 2021 and a record low of -672.000 Person th in Mar 2020. United States Employment: NF: sa: Over-the-Month Change: Revision: 3rd-1st data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.
This dataset represents the CHANGE in the number of jobs per industry category and sub-category from the previous month, not the raw counts of actual jobs. The data behind these monthly change values is from the Bureau of Labor Statistics (BLS) Current Employment Statistics (CES) program. CES data represents businesses and government agencies, providing detailed industry data on employment on nonfarm payrolls.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in Switzerland increased by 5532 thousand in June of 2025. This dataset provides - Switzerland Non Farm Payrolls- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Employment: Non Farm Payroll: sa: MoM data was reported at 177.000 Person th in Apr 2025. This records a decrease from the previous number of 228.000 Person th for Mar 2025. United States Employment: Non Farm Payroll: sa: MoM data is updated monthly, averaging 163.000 Person th from Feb 1939 (Median) to Apr 2025, with 1035 observations. The data reached an all-time high of 4,631.000 Person th in Jun 2020 and a record low of -20,471.000 Person th in Apr 2020. United States Employment: Non Farm Payroll: sa: MoM data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.
VITAL SIGNS INDICATOR Change in Jobs by Industry (EC2)
FULL MEASURE NAME Employment by place of work by industry sector
LAST UPDATED May 2019
DESCRIPTION Change in jobs by industry is the percent change and absolute difference in the number of people who have jobs within a certain industry type in a given geographical area
DATA SOURCE California Employment Development Department: Current Employment Statistics 1990-2017 http://www.labormarketinfo.edd.ca.gov/
CONTACT INFORMATION vitalsigns.info@bayareametro.gov
METHODOLOGY NOTES (across all datasets for this indicator) The California Employment Development Department (EDD) provides estimates of employment by place of work and by industry. Industries are classified by their North American Industry Classification System (NAICS) code. Vital Signs aggregates employment into 11 industry sectors: Farm, Mining, Logging and Construction, Manufacturing, Trade, Transportation and Utilities, Information, Financial Activities, Professional and Business Services, Educational and Health Services, Leisure and Hospitality, Government, and Other. EDD counts all public-sector jobs under Government, including public transportation, public schools, and public hospitals. The Other category includes service jobs such as auto repair and hair salons and organizations such as churches and social advocacy groups. Employment in the technology sector are classified under three categories: Professional and Business Services, Information, and Manufacturing. The latter category includes electronic and computer manufacturing. For further details of typical firms found in each sector, refer to the 2012 NAICS Manual (http://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2012).
The Bureau of Labor Statistics (BLS) provides industry estimates for non-Bay Area metro areas. Their main industry employment estimates, the Current Employment Survey and Quarterly Census of Employment and Wages, do not provide annual estimates of farm employment. To be consistent, the metro comparison evaluates nonfarm employment for all metro areas, including the Bay Area. Industry shares are thus slightly different for the Bay Area between the historical trend and metro comparison sections.
The location quotient (LQ) is used to evaluate level of concentration or clustering of an industry within the Bay Area and within each county of the region. A location quotient greater than 1 means there is a strong concentration for of jobs in an industry sector. For the Bay Area, the LQ is calculated as the share of the region’s employment in a particular sector divided by the share of the nation’s employment in that same sector. Because BLS does not provide national farm estimates, note that there is no LQ for regional farm employment. For each county, the LQ is calculated as the share of the county’s employment in a particular sector divided by the share of the region’s employment in that same sector.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in the United Kingdom decreased by 8 thousand in August of 2025. This dataset provides - United Kingdom Payrolled Employees- actual values, historical data, forecast, chart, statistics, economic calendar and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for ADP EMPLOYMENT CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Employment in Canada decreased by 65.50 in August of 2025. This dataset provides the latest reported value for - Canada Employment Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for NON FARM PAYROLLS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for NON FARM PAYROLLS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
The occupational and company situation of secondary occupation and small farmers. Topics: Company size and proportion of leased land; oral or written lease contract and length of contracts; location of agriculturally productive land in drinking water protection areas, nature reserves and countryside protection areas as well as in areas designated for construction; usage restrictions of company land; family members helping and their working hours; utilization of external help from sub-contracters and equipment co-operatives; tractor power; membership in a co-operative or producers union and partner in production companies; company branches operated together with other farmers; occupational career as well as readiness for further education of designated company successor; intended changes by successor; reasons for changes of company structure in the last 10 years; perceived possibilities of purchase or sale of land in planned changes of company structure; interest in retraining and further education; vacation and recuperation stays; representation during an illness and during vacation time; social structure of acquaintances and circle of friends; secondary income; assumed earnings in a non-agricultural occupation; readiness to give up the company or reduce its size on change of occupation; contacts with the employment office regarding personal retraining and search for work and regarding education of children; working hours; position in primary and in secondary occupation; means of transport used; length of employment in the company of primary occupation; shift work; occupational prospects of promotion; conditions for which respondent would be ready to change jobs; employment of spouse; assumed occupational prestige of secondary occupation farmers; perceived burdens from the part-time operation of the company and rationalization measures; advice from the economic advice center; general reasons for retention or elimination of the secondary occupation as farmer; membership in clubs and professional organizations. Demography: age; sex; marital status; employment; income; state. Die berufliche und betriebliche Situation der Nebenerwerbs- und Kleinlandwirte. Themen: Betriebsgröße und Anteil gepachteter Fläche; mündliche oder schriftliche Pachtverträge und Laufzeit der Verträge; Lage der landwirtschaftlichen Nutzflächen in Trinkwasser-, Natur- und Landschaftsschutzgebieten sowie in ausgewiesenen Bebauungsgebieten; Nutzungsbeschränkungen der Betriebsfläche; mithelfende Familienangehörige und deren Arbeitszeit; Inanspruchnahme externer Hilfen durch Lohnunternehmer und Maschinenringe; Schlepperstärke; Mitgliedschaft in einer Genossenschaft oder Erzeugergemeinschaft und Teilhaber an Verwertungsgesellschaften; gemeinsam mit anderen Landwirten betriebene Betriebszweige; beruflicher Werdegang sowie Fortbildungsbereitschaft des designierten Betriebsnachfolgers; beabsichtigte Veränderungen durch den Hofnachfolger; Gründe für Veränderungen der Betriebsstruktur in den letzten 10 Jahren; perzipierte Möglichkeiten des Erwerbs bzw. der Abgabe von Land bei geplanten Änderungen der Betriebsstruktur; Interesse an Umschulung und Fortbildung; Urlaubs- und Erholungsaufenthalte; Vertretung während einer Krankheit und während der Urlaubszeit; Sozialstruktur des Bekannten- und Freundeskreises; nebenbetriebliche Einkommen; vermuteter Verdienst in einem nichtlandwirtschaftlichen Beruf; Bereitschaft, den Betrieb bei Berufswechsel aufzugeben oder zu verkleinern; Kontakte zum Arbeitsamt bezüglich eigener Umschulung und Arbeitsplatzsuche und wegen der Ausbildung der Kinder; Arbeitszeit; Stellung im Haupt- und im Nebenberuf; benutztes Verkehrsmittel; Betriebszugehörigkeitsdauer im Betrieb des Hauptberufs; Schichtdienst; berufliche Aufstiegschancen; Bedingungen, zu denen der Befragte bereit wäre, den Arbeitsplatz zu wechseln; Berufstätigkeit des Ehegatten; vermutetes Berufsprestige des Nebenerwerbslandwirts; empfundene Belastungen durch die nebenberufliche Bewirtschaftung des Betriebes und Maßnahmen zur Rationalisierung; Beratung durch die Wirtschaftsberatungsstelle; allgemeine Gründe für die Beibehaltung bzw. das Abschaffen der Nebenerwerbslandwirtschaft; Mitglied schaft in Vereinen und Berufsverbänden. Demographie: Alter; Geschlecht; Familienstand; Berufstätigkeit; Einkommen; Bundesland.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Replication data for Henderson, J. Vernon, Adam Storeygard, and Uwe Deichmann. "Has climate change driven urbanization in Africa?." Journal of Development Economics 124 (2017): 60-82. Data include climate variables, conflict events, industry by district, urban/rural population, and distance to coast. This paper documents a substantial impact of climate variation on urbanization in sub-Saharan Africa. In a panel of over 350 subnational regions, we find that drier conditions increase urbanization in places most likely to have an urban industrial base. Total city income in such places also increases. When receiving cities have a traded good sector that is not wholly dependent upon local agriculture, migration to cities provides an “escape” from negative agricultural moisture shocks. However, in most places (75% of our sample) without an industrial base, there is no escape into alternative export-based employment. Drying causes reduced urban and rural incomes, with little overall impact on the urban population share. Finally, the paper shows that climate variation also induces employment changes within the rural sector itself. Drier conditions induce a shift out of farm activities, especially for women, into non-farm activities, and especially out of the measured work force. Overall, these findings imply a strong link between climate and urbanization in Africa. This dataset is part of the Global Research Program on Spatial Development of Cities funded by the Multi-Donor Trust Fund on Sustainable Urbanization of the World Bank and supported by the U.K. Department for International Development.
The intents of small and secondary occupation farmers regarding development of their companies as well as readiness for retraining in agricultural families. Topics: Family members involved in non-agricultural employment and classification according to primary and secondary occupational activities; family members helping; intended change of occupation and activity sought; conditions for which one would be ready for retraining; education sought for children, differentiating according to agricultural and non-agricultural occupations; reasons for the occupational goals; company size; readiness to give up the agricultural company or reduce its size on change of occupation; contacts with the employment office regarding personal retraining or search for work and for vocational training of the children; daily working hours; means of transport used. Demography: age; sex; occupation; employment; size of household. Die Absichten der Klein- und Nebenerwerbslandwirte bezüglich der Entwicklung ihrer Betriebe sowie die Umschulungsbereitschaft in landwirtschaftlichen Familien. Themen: Familienangehörige, die einer nichtlandwirtschaftlichen Erwerbstätigkeit nachgehen und Klassifikation nach haupt- und nebenberuflichen Tätigkeiten; mithelfende Familienangehörige; beabsichtigter Berufswechsel und angestrebte Tätigkeit; Bedingungen, zu denen man zu einer Umschulung bereit wäre; angestrebte Ausbildung der Kinder, unterschieden nach landwirtschaftlichen und nichtlandwirtschaftlichen Berufen; Gründe für die Berufsziele; Betriebsgröße; Bereitschaft, den landwirtschaftlichen Betrieb bei Berufswechsel aufzugeben bzw. zu verkleinern; Kontakte zum Arbeitsamt bezüglich eigener Umschulung oder Arbeitsplatzsuche und wegen der Berufsausbildung der Kinder; tägliche Arbeitszeit; benutzte Verkehrsmittel. Demographie: Alter; Geschlecht; Beruf; Berufstätigkeit; Haushaltsgröße.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Overview: Each quarter, the Temporary Foreign Worker Program (TFWP) publishes Labour Market Impact Assessment (LMIA) statistics on Open Government Data Portal, including quarterly and annual LMIA data related to, but not limited to, requested and approved TFW positions, employment location, employment occupations, sectors, TFWP stream and temporary foreign workers by country of origin. The TFWP does not collect data on the number of TFWs who are hired by an employer and have arrived in Canada. The decision to issue a work permit rests with Immigration, Refugees and Citizenship Canada (IRCC) and not all positions on a positive LMIA result in a work permit. For these reasons, data provided in the LMIA statistics cannot be used to calculate the number of TFWs that have entered or will enter Canada. IRCC publishes annual statistics on the number of foreign workers who are issued a work permit: https://open.canada.ca/data/en/dataset/360024f2-17e9-4558-bfc1-3616485d65b9. Please note that all quarterly tables have been updated to NOC 2021 (5 digit and training, education, experience and responsibilities (TEER) based). As such, Table 5, 8, 17, and 24 will no longer be updated but will remain as archived tables. Frequency of Publication: Quarterly LMIA statistics cover data for the four quarters of the previous calendar year and the quarter(s) of the current calendar year. Quarterly data is released within two to three months of the most recent quarter. The release dates for quarterly data are as follows: Q1 (January to March) will be published by early June of the current year; Q2 (April to June) will be published by early September of the current year; Q3 (July to September) will be published by early December of the current year; and Q4 (October to December) will be published by early March of the next year. Annual statistics cover eight consecutive years of LMIA data and are scheduled to be released in March of the next year. Published Data: As part of the quarterly release, the TFWP updates LMIA data for 28 tables broken down by: TFW positions: Tables 1 to 10, 12, 13, and 22 to 24; LMIA applications: Tables 14 to 18; Employers: Tables 11, and 19 to 21; and Seasonal Agricultural Worker Program (SAWP): Tables 25 to 28. In addition, the TFWP publishes 2 lists of employers who were issued a positive or negative LMIA: Employers who were issued a positive LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/90fed587-1364-4f33-a9ee-208181dc0b97/resource/b369ae20-0c7e-4d10-93ca-07c86c91e6fe); and Employers who were issued a negative LMIA by Program Stream, NOC, and Business Location (https://open.canada.ca/data/en/dataset/f82f66f2-a22b-4511-bccf-e1d74db39ae5/resource/94a0dbee-e9d9-4492-ab52-07f0f0fb255b). Things to Remember: 1. When data are presented on positive or negative LMIAs, the decision date is used to allocate which quarter the data falls into. However, when data are presented on when LMIAs are requested, it is based on the date when the LMIA is received by ESDC. 2. As of the publication of 2022Q1- 2023Q4 data (published in April 2024) and going forward, all LMIAs in support of 'Permanent Residence (PR) Only' are included in TFWP statistics, unless indicated otherwise. All quarterly data in this report includes PR Only LMIAs. Dual-intent LMIAs and corresponding positions are included under their respective TFWP stream (e.g., low-wage, high-wage, etc.) This may impact program reporting over time. 3. Attention should be given for data that are presented by ‘Unique Employers’ when it comes to manipulating the data within that specific table. One employer could be counted towards multiple groups if they have multiple positive LMIAs across categories such as program stream, province or territory, or economic region. For example, an employer could request TFWs for two different business locations, and this employer would be counted in the statistics of both economic regions. As such, the sum of the rows within these ‘Unique Employer’ tables will not add up to the aggregate total.
Displays a representation of where all the surveyed businesses across York Region are located. This data is collected through the Region’s annual comprehensive employment survey and each record contains employment and business contact information about each business with the exception of home and farm-based businesses. Home-based businesses are not included as they are distributed throughout residential communities within the Region and are difficult to survey. Employment data for farm-based businesses are collected through the Census of Agriculture conducted by Statistics Canada, and are not included in the York Region Employment Survey dataset.Update Frequency: Not PlannedDate Created: 17/03/2023Date Modified: 17/03/2023Metadata Date: 17/03/2023Citation Contacts: York Region, Long Range PlanningAttribute DefinitionsBUSINESSID: Unique key to identify a business.NAME: The common business name used in everyday transactions. FULL_ADDRESS: Full street address of the physical address. (This field concatenates the following fields: Street Number, Street Name, Street Type, Street Direction)STREET_NUM: Street number of the physical addressSTREET_NAME: Street name of the physical addressSTREET_TYPE: Street type of the physical addressSTREET_DIR: Street direction of the physical addressUNIT_NUM: Unit number of the physical addressCOMMUNITY: Community name where the business is physically locatedMUNICIPALITY: Municipality where the business is physically locatedPOST_CODE: Postal code corresponding to the physical street addressEMPLOYEE_RANGE: The numerical range of employees working in a given firm. PRIM_NAICS, PRIM_NAICS_DESC: The Primary 5-digit NAIC code defines the main business activity that occurs at that particular physical business location.SEC_NAICS, SEC_NAICS_DESC: If there is more than one business activity occurring at a particular business location (that is substantially different from the primary business activity), then a secondary NAIC is assigned.PRIM_BUS_CLUSTER, SEC_BUS_CLUSTER: A business cluster is defined as a geographic concentration of interconnected businesses and institutions in a common industry that both compete and cooperate. As defined by York Region, this field indicates the primary business cluster that this business belongs to.BUS_ACTIVITY_DESC: This is a comment box with a detailed text description of the business activity.TRAFFIC_ZONE: Specifies the traffic zone in which the business is located. MANUFACTURER: Indicates whether or not the business manufactures at the physical business location. CAN_HEADOFFICE: The business at this location is considered the Canadian head office.HEADOFFICEPROVSTATE: Indicates which state or province the head office is located if the head office is located in Canada (outside of Ontario) or in the United StatesHEADOFFICECOUNTRY: Indicates which country the head office is locatedYR_CURRENTLOC: Indicates the year that the business moved into its current address.MAIL_FULL_ADDRESS: The mailing address is the address through which a business receives postal service. This may or may not be the same as the physical street address.MAIL_STREET_NUM, MAIL_STREET_NAME, MAIL_STREET_TYPE, MAIL_STREET_DIR, MAIL_UNIT_NUM, MAIL_COMMUNITY, MAIL_MUNICIPALITY, MAIL_PROVINCE, MAIL_COUNTRY, MAIL_POST_CODE, MAIL_POBOX: Mailing address fields are similar to street address fields and in most cases will be the same as the Street Address. Some examples where the two addresses might not be the same include, multiple location businesses, home-based businesses, or when a business receives mail through a P.O. Box.WEBSITE: The General/Main business website.GEN_BUS_EMAIL: The general/main business e-mail address for that location.PHONE_NO: The general/main phone number for the business location.PHONE_EXT: The extension (if any) for the general/main business phone number.LAST_SURVEYED: The date the record was last surveyedLAST_UPDATED: The date the record was last updatedUPDATEMETHOD: Displays how the business was last updated, based on a predetermined list.X_COORD, Y_COORD: The x,y coordinates of the surveyed business locationFrequently Asked Questions How many businesses are included in the 2022 York Region Business Directory? The 2022 York Region Business Directory contains just over 34,000 business listings. In the past, businesses were annually surveyed, either in person or by telephone to improve the accuracy of the directory. Due to the COVID-19 Pandemic, a survey was not complete in 2020 and 2021. The Region may return to annual surveying in future years, however the next employment survey will be in 2024. This listing also includes home-based businesses that participated in the 2022 employment survey. What is a NAIC code? The North American Industrial Classification (NAIC) coding system is a hierarchical classification system developed in Canada, Mexico and the United States. It was developed to allow for the comparison of business and employment information across a variety of industry categories. The NAICS has a hierarchical structure, designed as follows: Two-digits = sector (e.g., 31-33 contain the Manufacturing sectors) Three-digits = subsector (e.g., 336 = Transportation Equipment Manufacturing) Four-digits = industry group (e.g., 3361 = Motor Vehicle Manufacturing) Five-digits = industry (e.g., 33611 = Automobile and Light Duty Motor Vehicle Manufacturing) For more information on the NAIC coding system click here How do I add or update my business information in the York Region Business Directory? To add or update your business information, please select one of the following methods: • Email: Please email businessdirectory@york.ca to request to be added to the Business Directory. • Online: Go to www.york.ca/employmentsurvey and participate in the employment survey - note, this will only be active in 2024 when the Region performs its next employment survey There is no charge for obtaining a basic listing of your business in the York Region Business Directory. How up-to-date is the information? This directory is based on the 2022 York Region Employment Survey, a survey of businesses which attempts to gather information from all businesses across York Region. In instances where we were unable to gather information, the most recent data was used. Farm-based businesses have not been included in the survey and home-based businesses that participated in the 2022 survey are included in the dataset. The date that the business listing was last updated is located in the LastUpdate column in the attached spreadsheet. Are different versions of the York Region Business Directory available? Yes, the directory is available in two online formats: • An interactive, map-based directory searchable by company name, street address, municipality and industry sector. • The entire dataset in downloadable Microsoft Excel format via York Region's Open Data Portal. This version of the York Region Business Directory 2022 is offered free of charge. The Directory allows for the detailed analysis of business and employment trends, as well as the construction of targeted contact lists. To view the map-based directory and dataset, go to: 2022 Business Directory - Map Is there any analysis of business and employment trends in York Region? Yes. The "2022 Employment and Industry Report" contains information on employment trends in York Region and is based on results from the employment survey. please visit www.york.ca/york-region/plans-reports-and-strategies/employment-and-industry-report to view the report. What other resources are available for York Region businesses? York Region offers an export advisory service and a number of other business development programs and seminars for interested individuals. For details, consult the York Region Economic Strategy Branch. Who do I contact to obtain more information about the Directory? For more information on the York Region Business Directory, contact the Planning and Economic Development Branch at: businessdirectory@york.ca.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Non Farm Payrolls in the United States increased by 22 thousand in August of 2025. This dataset provides the latest reported value for - United States Non Farm Payrolls - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.