Liberal Health Professionals: number and density by age group, sex and territory (department, region)

This dataset is one of the sources of data visualisations available on the [Liberal Health Professionals] website(https://data.ameli.fr/pages/data-professionnels-sante-liberaux/). ### General information: The liberal health professions available in this dataset are: * the **doctors** (with more than twenty medical specialties); * dental surgeons** (including dentofacial orthopaedic specialists – ODF); * the **women**; * medical assistants with five professions: **nurses, massage therapists, speech therapists, orthoptists, pedicures-podologists**. They are health professionals active on 31 December of the year concerned and: * exercising their activity as a liberal; * in metropolitan France, Guadeloupe, French Guiana, Reunion, Martinique and Mayotte; * having received at least EUR 1 in fees; * whether they are contracted with the Sickness Insurance or not (when they generate a prescription reimbursed by the Sickness Insurance); * professionals in employment-retirement cumulation are counted in the workforce as long as they meet the previous conditions. This dataset presents information on the numbers of liberal health professionals: * by age group; * by sex. It also presents the densities of liberal health professionals. This dataset is complementary to the following dataset: [Liberal health professionals: average ages, male/female share](https://data.ameli.fr/explore/dataset/demographie-ages-moyens-part-des-femmes-part-des-plus-de-60-ans/information/). Several territorial levels are available: national level (whole France), region, department. The data are derived from the National Health Data System (NSDS). For more information (source, field, definitions of modalities), visit the [Method](https://data.ameli.fr/pages/data-professionnels-sante-liberaux-methode/) page of this site. ### Data update: The data proposed for download in the “Export” tab is updated every year (data from the whole of France since 2010). ### Export data in Excel format: Given the large number of rows in this dataset, export in Excel format is not possible, except by using upstream filters. _Privilege export in CSV or JSON_ format.