National Institute of Statistics, Italy

The Italian National Institute of Statistics is a public research organisation. It has been present in Italy since 1926, and is the main producer of official statistics in the service of citizens and policy-makers. It operates in complete independence and continuous interaction with the academic and scientific communities. Since 1989 Istat has been performing the role of directing, coordinating, and providing technical assistance and training within the National Statistical System (Sistan). The System was established under Legislative Decree 322/89 in order to rationalise the production and publication of information and to optimise resources allocated to official statistics. Sistanis made up of Istat, central and branch statistical departments of Public Administrations, of local and regional bodies, Chambers of Commerce, other public bodies and administrations providing statistical information.

すべてのデータセット: B D I P V
  • B
    • 2月 2024
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 03 2月, 2024
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      Data source(s) used: Quick survey on building permits: Quick Survey on building permits is a quartely and sample survey; it collects information on new building projects (residential or non-residential) or enlargement of pre-existing buildings, with the exception of transformations and renovations. Information is supplied by those who ask for building permits or start-of-work notification (DIA) or SCIA and is collected by municipalities that monthly send the material to Istat.
  • D
    • 1月 2024
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 04 1月, 2024
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      Data source(s) used: Demographic projections - Years 2017-2065: Forecasts are calculated by gender, year of the forecast, median scenario and uncertainty level ( 90%, 80% and 50% confidence intervals). The data are provided for Italian regions. The forecasts cover a period until year 2065.
  • I
    • 2月 2024
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 02 2月, 2024
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      Data source(s) used: Production index - construction: The field of observation of the estimated index of production in construction (IPC) is all construction activities referred both to new and maintenance activity. The periodicity of the index was quarterly until the third quarter of 2010, after which began disseminating monthly. Due to the difficulty in doing a direct survey on building companies, an indirect methodology is used to calculate the IPC: output changes are calculated on the basis of a production function that combine the production inputs (working hours, intermediate inputs and physical capital). The production function is estimated using elementary enterprise data referred to the year 2005. This indirect approach is also recommended in Eurostat short-term statistics methodological to solve problems arising in measuring the output of the construction sector for the strong prevalence of small and very small building companies.Survey on building workers' welfare funds:Survey on working hours in construction sector. The survey is performed with a monthly frequency, and the data are one of the sources of the process “Index of production in construction”. This index is disseminated with a monthly frequency. The survey data are not released directly.
    • 2月 2024
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 02 2月, 2024
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      Data source(s) used: Monthly survey on retail sales: The retail trade monthly survey refers to retail trade enterprises. Sales of motor vehicles and fuel and repairs are also excluded.
  • P
    • 7月 2022
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 22 7月, 2022
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      Data source(s) used: Absolute poverty: The ISTAT estimate of the absolute poverty defines as poor a household with a consumption expenditure lower or equal to the monetary value of a basket of goods and services considered as essential to avoid severe forms of social exclusion. The monetary value of the basket of absolute poverty is reviewed every year in the light of trend in prices and compared to the levels of spending on household consumption. To summarize information on different poverty aspects (spread, gravity) two indices are calculated. The first is the proportion of poors (incidence), that is the ratio between the number of households (individuals) in poverty and the number of resident households (individuals). The second is the mean poverty gap (intensity), measuring 'how poors are the poors', that is, in percentage terms, the difference between the mean consumption expenditures of poor households and the monetary value of the basket of absolute poverty. Since 2014, the data source of poverty estimates (the Household Budget Survey) has been completely reviewed. As a consequence, it has been necessary to reconstruct absolute poverty time series since 2005. Time comparisons between 2014 estimates and previously disseminated estimates can be made only using reconstructed data.Relative poverty: The ISTAT estimate of the relative poverty is based on a poverty line (International Standard of Poverty Line - ISPL) defining as poor a household of two components with a consumption expenditure level lower or equal to the mean per-capita consumption expenditure. To define the relative poverty line for different household sizes an equivalence scale is used (Carbonaro equivalence scale) to take into account different needs and economies/diseconomies of scale that can be achieved in bigger/smaller households. To summarize information on different poverty aspects (spread, gravity) two indices are calculated. The first is the proportion of poors (incidence), that is the ratio between the number of households (individuals) in poverty and the number of resident households (individuals). The second is the mean poverty gap (intensity), measuring 'how poors are the poors', that is, in percentage terms, the difference between the mean consumption expenditures of poor households and the poverty line. Since 2014, the data source of poverty estimates (the Household Budget Survey) has been completely reviewed. As a consequence, it has been necessary to reconstruct relative poverty time series since 1997. Time comparisons between 2014 estimates and previously disseminated estimates can be made only using reconstructed data. Other data characteristics: Absolute poverty thresholds: The values of monthly absolute poverty thresholds, for selected household typologies (detailed by number and age of components), by geographical area and municipality type, can be calculated at:
  • V
    • 10月 2023
      ソース: National Institute of Statistics, Italy
      アップロード者: Knoema
      以下でアクセス: 10 10月, 2023
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      Data source(s) used: Automobile Club of Italy: The Public Register of Motor-vehicles (PRA), data base managed by ACI (Automobile Club of Italy), contains all information on properties assets and legal aspects for vehicles recorded in the archive. The disseminated statistics, based on the PRA database information, are referred to the stock of Italian vehicles at the date December 31st of every year, to the new registrations and cancellations of vehicles during the year. The reference laws for the establishment of PRA register in 1927 is the R.d.l.436/27, for PRA automation starting and implementation, the D.L. 187/90 and D.M. 514/92. PRA register represents a very important legacy adequate to provide data on vehicles, useful for different studies and researches (mobility, pollution, car market….etc.)