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Headline data

Área geográfica: County of San Diego

Unidad de medida:

Nota:

Esta tabla proporciona metadatos para el indicador real disponible a partir de las estadísticas de San Diego más cercanas al correspondiente indicador global de SDG. Tenga en cuenta que incluso cuando el indicador global de ODS esté totalmente disponible a partir de las estadísticas de San Diego, se debe consultar esta tabla para obtener información sobre la metodología nacional y otra información de metadatos específicos de San Diego.

Objetivo

Goal 8. Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

Destino

Target 8.5: By 2030, achieve full and productive employment and decent work for all women and men, including for young people and persons with disabilities, and equal pay for work of equal value

Indicador

Indicator 8.5.2: Unemployment rate, by sex, age and persons with disabilities

Definición y conceptos

Definition:

The unemployment rate conveys the percentage of persons in the labour force who are unemployed..

Concepts:

Unemployed persons are defined as all those of working age (usually aged 15 and above) who were not in employment, carried out activities to seek employment during a specified recent period and were currently available to take up employment given a job opportunity, where: (a) “not in employment” is assessed with respect to the short reference period for the measurement of employment; (b) to “seek employment” refers to any activity when carried out, during a specified recent period comprising the last four weeks or one month, for the purpose of finding a job or setting up a business or agricultural undertaking; (c) the point when the enterprise starts to exist should be used to distinguish between search activities aimed at setting up a business and the work activity itself, as evidenced by the enterprise’s registration to operate or by when financial resources become available, the necessary infrastructure or materials are in place or the first client or order is received, depending on the context; (d) “currently available” serves as a test of readiness to start a job in the present, assessed with respect to a short reference period comprising that used to measure employment (depending on national circumstances, the reference period may be extended to include a short subsequent period not exceeding two weeks in total, so as to ensure adequate coverage of unemployment situations among different population groups). Persons in employment are defined as all those of working age (usually aged 15 and above) who, during a short reference period such as one week or one day, were engaged in any activity to produce goods or provide services for pay or profit. The labour force corresponds to the sum of persons in employment and in unemployment. For more information on the definitions of employment and unemployment refer to the Resolution concerning statistics of work, employment and labour underutilization Adopted by the 19th International Conference of Labour Statisticians.

Unidad de medida

Percent(%)

Método de recogida de datos

This dataset contains model-based census tract-level estimates for the PLACES 2021 release. PLACES is the expansion of the original 500 Cities project and covers the entire United States—50 states and the District of Columbia (DC)—at county, place, census tract, and ZIP Code Tabulation Area (ZCTA) levels. It represents a first-of-its kind effort to release information uniformly on this large scale for local areasat 4 geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation (RWJF) in conjunction with the CDC Foundation. The dataset includes estimates for 29 measures: 4 chronic disease-related health risk behaviors, 13 health outcomes, 3 health status, and 9 on use of preventive services. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates include Behavioral Risk Factor Surveillance System (BRFSS) data, Census Bureau 2010 population data, and American Community Survey (ACS).

Proveedores de datos

American Community Survey 5-Year Data (2019)

Metadatos actualizados por última vez 2022-05-26: see changes on GitHub Se abre en una nueva ventana