4 datasets found
  1. t

    Unemployment Rates

    • townfolio.co
    Updated Sep 10, 2019
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    (2019). Unemployment Rates [Dataset]. https://townfolio.co/sk/regina/labour-force
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    Dataset updated
    Sep 10, 2019
    Description

    Overall, the unemployment rate in Regina, SK is declining at a rate of 0.02% per year over the past 15 years from 2001 to 2016. In the last two census, its unemployment rates grew by 1.0%, an average growth rate of 0.2% per year from 2011 to 2016. A growing unemployment rate signals that there is a higher level of competition between job applicants so obtaining a job becomes more difficult.

  2. Regional unemployment rates used by the Employment Insurance program,...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jul 11, 2025
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    Government of Canada, Statistics Canada (2025). Regional unemployment rates used by the Employment Insurance program, three-month moving average, seasonally adjusted [Dataset]. http://doi.org/10.25318/1410035401-eng
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    Dataset updated
    Jul 11, 2025
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Regional unemployment rates used by the Employment Insurance program, by effective date, current month.

  3. f

    A model of NAIRU for Brazil

    • scielo.figshare.com
    tiff
    Updated Jun 1, 2023
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    MARCELO S. PORTUGAL; REGINA C. MADALOZZO (2023). A model of NAIRU for Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.19964496.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    MARCELO S. PORTUGAL; REGINA C. MADALOZZO
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Brazil
    Description

    ABSTRACT In this article we present some estimates for the Non-Accelerating Inflation Rate of Unemployment (NAIRU) using Brazilian Data. Two different models, Nishizaki (1997) and Debelle and Laxton (1997), are used. The NAIRU is estimated using both the IBGE and DIEESE data. The results show a linear Phillips curve for Brazil and allow a good estimate of the NAIRU. For the IBGE data we obtain a time varying NAIRU while for the DIEESE data best estimate generates a fixed NAIRU. Our results are in line with the acceleration of inflation during the eighties and the price stability that follow the Real Plan.

  4. c

    European System of Social Indicators: Labour Market and Working Conditions,...

    • datacatalogue.cessda.eu
    Updated Aug 21, 2024
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    Noll, Heinz-Herbert; Berger-Schmitt, Regina (2024). European System of Social Indicators: Labour Market and Working Conditions, 1980-2013 [Dataset]. http://doi.org/10.4232/1.13026
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    Dataset updated
    Aug 21, 2024
    Dataset provided by
    GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim
    Authors
    Noll, Heinz-Herbert; Berger-Schmitt, Regina
    Time period covered
    Jan 1, 1980 - Dec 31, 2013
    Area covered
    Estonia, Czech Republic, Cyprus, Netherlands, Portugal, Poland, Germany, France, North Macedonia, Bulgaria
    Variables measured
    Political-administrative area
    Measurement technique
    Aggregation
    Description

    The European System of Social Indicators provides a systematically selected collection of time-series data to measure and monitor individual and societal well-being and selected dimensions of general social change across European societies. Beyond the member states of the European Union, the indicator system also covers two additional European nations and – depending on data availability – the United States and Japan as two important non-European reference societies. Guided by a conceptual framework, the European System of Social Indicators has been developed around three basic concepts – quality of life, social cohesion, and sustainability. While the concept of quality of life is supposed to cover dimensions of individual well-being, the notions of social cohesion as well as sustainability are used to conceptualize major characteristics and dimensions of societal or collective well-being. The indicator system is structured into 13 life domains altogether. Time-series data are available for nine life domains, which have been fully implemented.

    Time series start at the beginning of the 1980s at the earliest and mostly end by 2013. As far as data availability allows, empirical observations are presented yearly. Most of the indicator time-series are broken down by selected sociodemographic variables, such as gender, age groups, employment status, or territorial characteristics. Regional disaggregations are being provided at the NUTS-1 or similar levels as far as meaningful and data availability allows. The European System of Social Indicators is preferably based on harmonized data sources, ensuring the best possible level of comparability across countries and time. The data sources used include international aggregate official statistics, for example, provided by EUROSTAT and the OECD, as well as microdata from various official as well as science-based cross-national surveys, such as the European Union Statistics on Income and Living Conditions (EU-SILC), Eurobarometer Surveys, the World Value Surveys, or the European Social Survey.

    The European System of Social Indicators results from research activities within the former Social Indicators Research Centre at GESIS. In its initial stage, this research was part of the EuReporting-Project (Towards a European System of Social Reporting and Welfare Measurement), funded by the European Commission within its 4th European Research Framework Programme from 1998 to 2001. For more detailed information on the European System of Social Indicators, see the methodological report under „other documents“.
    The data on the area of life ´Labor market and working conditions´ is made up as follows: Demographic and socio-economic structures: employment status, structure of employment Disparities, inequalities and social exclusion: Equal opportunities/inequality of different generations, equal opportunities/inequality of nationals and foreigners, equal opportunities/inequality of women and men, regional disparities in employment opportunities and risks Human capital: work-related health impairments Natural capital: Consumption of natural resources by the economy, environmental pollution by the economy Objective living conditions: Employment: Potential and level, labor market: opportunities and risks, mobility, unemployment and underemployment, working conditions Social relationships and ties: European-specific concerns, participation, quality of social relationships in working life, quality of social institutions Subjective well-being: Subjective perception and evaluation of personal employment situation Values and attitudes: General importance of work, importance of job characteristics.

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(2019). Unemployment Rates [Dataset]. https://townfolio.co/sk/regina/labour-force

Unemployment Rates

Explore at:
Dataset updated
Sep 10, 2019
Description

Overall, the unemployment rate in Regina, SK is declining at a rate of 0.02% per year over the past 15 years from 2001 to 2016. In the last two census, its unemployment rates grew by 1.0%, an average growth rate of 0.2% per year from 2011 to 2016. A growing unemployment rate signals that there is a higher level of competition between job applicants so obtaining a job becomes more difficult.

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