Context

Due to the coronavirus epidemic, and following the measures adopted by the Government to contain it, Istat has implemented a series of actions to ensure the continuity and quality of statistical production even in the emergency situation.

Content

TheThe Italian National Institute of Statistics has reorganized data collection by sustainable acquisition techniques, innovative methodologies and use of data sources; it also provided most appropriate solutions to support statistical production processes, in full protection of workers’ health.

Official statistics are fundamental for measuring the evolution of economy and society; their production and dissemination at the service of institutions, policy-makers, families and businesses, therefore, cannot be stopped, but need to be rethought to be ready to provide the country with all necessary answers, and above all to support and monitor the future country’s recovery.

Reference period: 01/01-04/04, Years 2015-2020. Collected data thanks to Istat Survey Deaths of resident population, that uses administrative source to collect main individual characteristics of deaths, and to processing ANPR (National Resident Population Register) source data for deaths referring to the 2020 year.

Processing data of municipalities (1,689) where ANPR data are considered reliable and migrated in ANPR database before January 1st, 2020.

Record: 1. CODES NUTS2 = Istat code of NUTS2
2. CODES NUTS3 = Istat code of NUTS3 3. CODES_NUTS3_LAU2 = Istat code of LAU2 4. NUTS 2 = Region of residence 5. NUTS 3 = Province of residence 6. LAU 2 = Municipality of residence 7. DATA_INIZIO_DIFF = Date of first dissemination of data in 2020 8. WEEK= Week of death (first considered period, from January 1st to January 11th, is 11 days) 9. AGE CLASS = Age class at the time of death 10. MALES_2015: total male deaths in 2015 11. MALES_2016: total male deaths in 2016 12. MALES_2017: total male deaths in 2017 13. MALES_2018: total male deaths in 2018 14. MALES_2019: total male deaths in 2019 15. MALES_2020: total male deaths in 2020 16. FEMALES_2015: total female deaths in 2015 17. FEMALES_2016: total female deaths in 2016 18. FEMALES_2017: total female deaths in 2017 19. FEMALES_2018: total female deaths in 2018 20. FEMALES_2019: total female deaths in 2019 21. FEMALES_2020: total female deaths in 2020 22. TOTAL_2015: total deaths in 2015 23. TOTAL_2016: total deaths in 2016 24. TOTAL_2017: total deaths in 2017 25. TOTAL_2018: total deaths in 2018 26. TOTAL_2019: total deaths in 2019 27. TOTAL_2020: total deaths in 2020

Acknowledgements

https://www.istat.it

https://www.istat.it/en/archivio/240106

Inspiration

These data also provides most appropriate solutions to support statistical production processes, in full protection of workers’ health.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Context

Labour force survey: from the labour force survey Istat derives its official estimates of the number of employed persons and job-seekers, as well as information about the main labour supply aggregates, such as occupation, economic activity area, hours worked, contract types and duration and training. The statistical documentation and analysis of the employment situation in Italy has proven to be an indispensable instrument of knowledge for public decision-makers, the media and citizens alike. Labour force survey: http://dati.istat.it/Index.aspx?lang=it&SubSessionId=fab81bf1-8c9f-49ff-a52e-e3948b27eb04

Content

Istat has reconstructed the time series since the fourth quarter of 1992. The Istituto Nazionale di Statistica (Istat) collects the information each quarter by interviewing a sample of nearly 77,000 households, representing 175,000 individuals who are resident in Italy, even if they are temporarily abroad.

dati.istat.it

Acknowledgements

https://www.istat.it

http://dati.istat.it/Index.aspx?lang=it&SubSessionId=fab81bf1-8c9f-49ff-a52e-e3948b27eb04

Photo by Nuno Silva on Unsplash

Inspiration

People that work (employed or unemployed) no matter what class, gender or nationality and their struggle for labour rights and social movements all over the world.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Quarterly

Sampling procedure

Sample size:

The dataset contains:number of employees and self-employed personsnumber of workers in public institutionsnumber of students broken down by census section (2011).- Data on workers in local units of enterprises refer to an estimated average annual valueUpdate:Enterprises -> 2019Public institutions -> 2017Students -> school year 2019/2020Enterprises: Istat, Statistical Register of Local Units (ASIA - UL) - Data as at 3/11/2021https://www.istat.it/en/archive/234627Public Institutions: Istat, Permanent Census of Public Institutions https://www.istat.it/en/archive/201209Schools: Municipality of Bologna, MIURFor more information and details consult the links below, the pages drawn up by the municipal statistical office:Link1Link2

Unemployment Rate - Persons aged 15 years and over by Region - Italy

Unemployment data from iStat corporate data warehouse

Italian Mortality tables since 1974.

Historical Information System of (Italian) Territorial Administrations curated and published by Istat.

5000 most popular baby names in Italy. 1999 - 2014. Source: http://www.istat.it/it/prodotti/contenuti-interattivi/calcolatori/nomi

This is a sample dataset for the Biodemography Workshop. Within this dataset, input files related to demographic statistics will be considered, specifically population by gender and by Nuts2 in Italy, as well as shapefiles for map creation. The variables to be analyzed include the ratio between male and female, and vice versa. The final output consists of two maps. The data source is Istat, which provides these with a CC BY license: 1-https://demo.istat.it/app/?i=POS&l=it 2-https://www.istat.it/it/archivio/222527 To conduct the analysis, the open-source software R-Studio was used. The data management methodology will also be outlined in a Data Management Plan, written using Overleaf, in which we will provide more detailed information.

ISTAT census multi-annual data (only 2011 - The data are stored in different cubes)

Statistical data about immigration in Italy and related topics. Original data comes from the National Statistical Institute of Italy (ISTAT, dati.istat.it) and has been put in RDF Data Cube format by Linked Open Data Italia association.

The dataset contains the number of foreign resident population born in Italy by place of birth, gender and five-year age group. The data was collected through the 15th general population and housing census, carried out by ISTAT in 2011. For further information see www.istat.it This dataset was released by the municipality of Milan.

The dataset contains estimates of employed, jobseekers (unemployed) and inactive people, broken down by gender, from 2004 onwards. The source is the Continuous Labour Force Survey (RCFL) conducted quarterly by ISTAT: since this is a sample survey, the data are estimated. For further information on the RCFL: www.istat.it. The data are released in two versions with different reference population: age group :15-64 years and 15 years and over. Here is a brief definition of the data: * EMPLOYED: include persons aged 15-64 who in the reference week of the interview: have worked at least one hour in any activity involving monetary consideration or in kind or have worked at least one hour of unpaid work in the firm of a family member in which they habitually work, are absent from work (for example, for holidays or sickness), but the absence does not exceed 3 months (in the case of employees and family workers) or maintain the activity (in the case of self-employed persons, excluding family workers). * PEOPLE LOOKING FOR EMPLOYMENT: include persons aged between 15 and 64 who are not in employment and who: have carried out at least one active job-search activity in the 30 days preceding the interview and are available to work (or to start a self-employed activity) within two weeks of the interview; or, they will start a job within three months from the date of the interview and are available to work (or to start a self-employed activity) within two weeks after the interview, if it is possible to anticipate the start of the job * LABOUR FORCES: are persons in employment or seeking employment: are obtained by adding the two previous entries. * INACTIVE: are people who do not work and do not look for work (population under 15 years of age, students, housewives, pensioners and those who are not active in the search for a job). This dataset has been issued by the Municipality of Milan. Dataset based on ISTAT source Labour Force Surveys: http://www.istat.it/en/archive/8263. The path to be used to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - Work and business - Labour Forces - Residents in Milan

Metropolitan city and municipal (comune) boundaries/administrative units of Italy from BOUNDARIES OF ADMINISTRATIVE UNITS FOR STATISTICAL PURPOSES as of 1 January 2019. This is the more detailed version (not the generalized version). Source: Istat https://www.istat.it/it/archivio/222527 Original shapefile name: Com01012019_WGS84 Description: PDF 689 kb

The dataset contains estimates of employed, jobseekers (unemployed) and inactive people, broken down by gender, from 2004 onwards. The source is the Continuous Labour Force Survey (RCFL) conducted quarterly by ISTAT: since this is a sample survey, the data are estimated. For further information on the RCFL: www.istat.it. The data are released in two versions with different reference population: age group :15-64 years and 15 years and over. Here is a brief definition of the data: * EMPLOYED: include persons aged 15 years and over in the reference week of the interview: have worked at least one hour in any activity involving monetary consideration or in kind or have worked at least one hour of unpaid work in the firm of a family member in which they habitually work; are absent from work (e.g. due to holidays or illness), but the absence does not exceed 3 months (in the case of employees and family workers) or maintain the activity (in the case of self-employed persons, excluding family workers). * PEOPLE LOOKING FOR EMPLOYMENT: include persons aged 15 and over who are not in employment and who: have carried out at least one active job-search activity in the 30 days preceding the interview and are available to work (or to start a self-employed activity) within two weeks of the interview; or, they will start a job within three months from the date of the interview and are available to work (or to start a self-employed activity) within two weeks after the interview, if it is possible to anticipate the start of the job. * INACTIVE: are people who do not work and do not look for work (population under 15 years of age, students, housewives, pensioners and those who are not active in the search for a job). This dataset has been issued by the Municipality of Milan. Dataset based on ISTAT source Labour Force Surveys: http://www.istat.it/en/archive/8263. The path to be used to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - Work and business - Labour Forces - Residents in Milan

The dataset describes the monthly trend of the National Consumer Price Index (NIC), the indicator used to measure inflation, by expenditure group. The source of the data is the monthly ISTAT Survey on Consumer Prices. The basis of the indices is the year 1998=100. The reference universe is the entire population present in the territory and the set of all goods and services purchased by households with an actual market price. The product classification adopted for consumer price indices is based on COICOP (Classification of Individual Consumption by Purpose): divisions, groups, classes and subclasses. For further information: www.istat.it

This dataset has been issued by the Municipality of Milan.

The path to be used to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - Prices and Consumption - Consumer prices - Price index until 2010

The dataset contains estimates of employed, job-seeking (unemployed) and inactive people, broken down by gender, from 2004 onwards. The source is the Continuous Labor Force Survey (RCFL) conducted quarterly by ISTAT: since it is a sample survey, the data are estimated. For further information on the RCFL: www.istat.it. The data is released in two versions with different reference populations: age group: 15-64 years and 15 years and over. A brief definition of the data follows: * EMPLOYEES: include people aged 15-64 who, in the reference week of the interview: carried out at least one hour of work in any activity that provides for a monetary or in-kind payment or at least one hour of unpaid work in the company of a family member in which they usually collaborate, are absent from work (for example, due to holidays or illness), but the absence does not exceed 3 months (in the case of employees and family assistants) o maintain the business (in the case of self-employed persons, excluding family workers). * PEOPLE SEEKING EMPLOYMENT: include unemployed persons aged between 15 and 64 who: have carried out at least one active job-seeking action in the thirty days preceding the interview and are available to work (or to set up a business independent) within two weeks following the interview; or, will start a job within three months from the date of the interview and are available to work (or to start a self-employment) within two weeks following the interview, if it is possible to anticipate the start of the job * LABOR FORCE: are people employed or looking for work: they are obtained by adding the two previous items. * INACTIVE: people who are not working and are not looking for work (population under the age of 15, students, housewives, pensioners and those who are not active in looking for a job). This dataset was released by the municipality of Milan. Dataset based on ISTAT source Labor force surveys: http://www.istat.it/it/archivio/8263. The path to use to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - ​​Employment and business - Labor Forces - Residents of Milan

The dataset contains the main indicators on the labour force in the municipality of Milan, as defined below: * Activity rate: the ratio of the labour force to the target population in the corresponding age group, * employment rate: the ratio between the number of persons employed and the reference population in the corresponding age group; * Unemployment rate: the ratio of the number of jobseekers to the labour force in the corresponding age group. The rates concern employed persons and jobseekers residing in the municipality of Milan belonging to the age group 15-64 years. Annual data are available in time series from 2004 onwards. Dataset based on ISTAT source Labour Force Surveys: http://www.istat.it/en/archive/8263. The path to be used to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - Work and business - Labour Forces - Residents in Milan

AbstractIn Italy, approximately 400.000 new cases of malignant tumors are recorded every year. The average of annual deaths caused by tumors, according to the Italian Cancer Registers, is about 3.5 deaths and about 2.5 per 1,000 men and women respectively, for a total of about 3 deaths every 1,000 people. Long-term (at least a decade) and spatially detailed data (up to the municipality scale) are neither easily accessible nor fully available for public consultation by the citizens, scientists, research groups, and associations. Therefore, here we present a ten-year (2009–2018) database on cancer mortality rates (in the form of Standardized Mortality Ratios, SMR) for 23 cancer macro-types in Italy on municipal, provincial, and regional scales. We aim to make easily accessible a comprehensive, ready-to-use, and openly accessible source of data on the most updated status of cancer mortality in Italy for local and national stakeholders, researchers, and policymakers and to provide researchers with ready-to-use data to perform specific studies. Methods For a given locality, year, and cause of death, the SMR is the ratio between the observed number of deaths (Om) and the number of expected deaths (Em): SMR = Om/Em (1) where Om should be an available observational data and Em is estimated as the weighted sum of age-specific population size for the given locality (ni) per age-specific death rates of the reference population (MRi): Em = sum(MRi x ni) (2) MRi could be provided by a public health organization or be estimated as the ratio between the age-specific number of deaths of reference population (Mi) to the age-specific reference population size (Ni): MRi = Mi/Ni (3) Thus, the value of Em is weighted by the age distribution of deaths and population size. SMR assumes value 1 when the number of observed and expected deaths are equal. Following eqns. (1-3), the SMR was computed for single years of the period 2009-2018 and for single cause of death as defined by the International ICD-10 classification system by using the following data: age-specific number of deaths by cause of reference population (i.e., Mi) from the Italian National Institute of Statistics (ISTAT, (http://www.istat.it/en/, last access: 26/01/2022)); age-specific census data on reference population (i.e., Ni) from ISTAT; the observed number of deaths by cause (i.e., Om) from ISTAT; the age-specific census data on population (ni); the SMR was estimated at three different level of aggregation: municipal, provincial (equivalent to the European classification NUTS 3) and regional (i.e., NUTS2). The SMR was also computed for the broad category of malignant tumors (i.e. C00-C979, hereinafter cancer macro-type C), and for the broad category of malignant tumor plus non-malignant tumors (i.e. C00-C979 plus D0-D489, hereinafter cancer macro-type CD). Lower 90% and 95% confidence intervals of 10-year average values were computed according to the Byar method.