2019 Population Census - Major Districts - Economic ActivityRecensement population 2019 - Grands quartiers - Activité

Recensement population 2019 - Grands quartiers - Activité2019 Population Census - Major Districts - Economic Activity

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This dataset provides 2019 French population census figures at the level of major districts (grands quartiers), focused on the theme of economic activity, covering the Toulouse metropolitan area. It is published via the Toulouse Métropole open data portal and made freely accessible without authentication. The underlying data model is documented in an attached file. The dataset is intended for local statistical analysis of employment and economic activity indicators at a sub-municipal geographic scale.Données du recensement de la population 2019 à l'échelle des grands quartiers sur le thème Activité. Pour information le modèle de données est décrit dans la piece jointe.

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Data schema (123 fields)

Filterable via the API (121)

grd_quartlib_grd_quartregdepuu2020code_inseep19_pop1564p19_pop1524p19_pop2554p19_pop5564p19_h1564p19_h1524p19_h2554p19_h5564p19_f1564p19_f1524p19_f2554p19_f5564p19_act1564p19_act1524p19_act2554p19_act5564p19_hact1564p19_hact1524p19_hact2554p19_hact5564p19_fact1564p19_fact1524p19_fact2554p19_fact5564p19_actocc1564p19_actocc1524p19_actocc2554p19_actocc5564p19_hactocc1564p19_hactocc1524p19_hactocc2554p19_hactocc5564p19_factocc1564p19_factocc1524p19_factocc2554p19_chom_capbepp19_factocc5564p19_chom_bacp19_chom1564p19_chom_sup2p19_chom1524p19_chom_sup34p19_chom2554p19_chom_sup5p19_chom5564p19_act_diplminp19_chom_diplminp19_act_bepcp19_chom_bepcp19_act_capbepp19_act_bacp19_act_sup2p19_act_sup34p19_act_sup5p19_inact1564p19_hinact1564p19_finact1564p19_etud1564p19_hetud1564p19_fetud1564p19_retr1564p19_hretr1564p19_fretr1564p19_ainact1564p19_hainact1564p19_fainact1564p19_actocc15pp19_hactocc15pp19_factocc15pp19_sal15pp19_hsal15pp19_fsal15pp19_nsal15pp19_hnsal15pp19_fnsal15pp19_actocc15p_tpp19_sal15p_tpp19_hsal15p_tpp19_fsal15p_tpp19_nsal15p_tpp19_sal15p_cdip19_sal15p_cddp19_sal15p_interimp19_sal15p_empaidp19_sal15p_apprp19_nsal15p_indepp19_nsal15p_employp19_nsal15p_aidfamp19_actocc15p_ilt1p19_actocc15p_ilt2pp19_actocc15p_ilt2p19_actocc15p_ilt3p19_actocc15p_ilt4p19_actocc15p_ilt5c19_act1564c19_act1564_cs1c19_act1564_cs2c19_act1564_cs3c19_act1564_cs4c19_act1564_cs5c19_act1564_cs6c19_actocc1564c19_actocc1564_cs1c19_actocc1564_cs2c19_actocc1564_cs3c19_actocc1564_cs4c19_actocc1564_cs5c19_actocc1564_cs6c19_actocc15pc19_actocc15p_pasc19_actocc15p_marc19_actocc15p_veloc19_actocc15p_2rouesmotc19_actocc15p_voitc19_actocc15p_tcom

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	Geographic centroid coordinates of the district.Geographic centroid coordinates of the district.
—	geo_shapeShape	geo_shape	Geographic boundary shape of the district.Geographic boundary shape of the district.
—	grd_quartGrd quart	text	Code identifying the large district (grand quartier).
—	lib_grd_quartLib grd quart	text	Name of the large district (grand quartier).Name of the large district (grand quartier).
—	reg	text	Code of the administrative region.Code of the administrative region.
—	dep	text	Code of the department.Département; Code du département;
—	uu2020	text	Code of the urban unit (2020 definition).Code of the urban unit (2020 definition).
—	code_inseeINSEE commune code	text	INSEE code of the municipality.
—	p19_pop1564P19 pop1564	double	Estimated population aged 15-64 in 2019.Estimated population aged 15-64 in 2019.
—	p19_pop1524P19 pop1524	double	Estimated population aged 15-24 in 2019.Estimated population aged 15-24 in 2019.
100%	p19_pop2554P19 pop2554	double	Estimated population aged 25-54 in 2019.Estimated population aged 25-54 in 2019.
100%	p19_pop5564P19 pop5564	double	Estimated population aged 55-64 in 2019.Estimated population aged 55-64 in 2019.
100%	p19_h1564P19 h1564	double	Estimated male population aged 15-64 in 2019.Estimated male population aged 15-64 in 2019.
100%	p19_h1524P19 h1524	double	Estimated male population aged 15-24 in 2019.Estimated male population aged 15-24 in 2019.
100%	p19_h2554P19 h2554	double	Estimated male population aged 25-54 in 2019.Estimated male population aged 25-54 in 2019.
100%	p19_h5564P19 h5564	double	Estimated male population aged 55-64 in 2019.Estimated male population aged 55-64 in 2019.
100%	p19_f1564P19 f1564	double	Estimated female population aged 15-64 in 2019.Estimated female population aged 15-64 in 2019.
100%	p19_f1524P19 f1524	double	Estimated female population aged 15-24 in 2019.Estimated female population aged 15-24 in 2019.
100%	p19_f2554P19 f2554	double	Estimated female population aged 25-54 in 2019.Estimated female population aged 25-54 in 2019.
100%	p19_f5564P19 f5564	double	Estimated female population aged 55-64 in 2019.Estimated female population aged 55-64 in 2019.
100%	p19_act1564P19 act1564	double	Estimated labor force (active population) aged 15-64 in 2019.Estimated labor force (active population) aged 15-64 in 2019.
100%	p19_act1524P19 act1524	double	Estimated labor force aged 15-24 in 2019.Estimated labor force aged 15-24 in 2019.
100%	p19_act2554P19 act2554	double	Estimated labor force aged 25-54 in 2019.Estimated labor force aged 25-54 in 2019.
100%	p19_act5564P19 act5564	double	Estimated labor force aged 55-64 in 2019.Estimated labor force aged 55-64 in 2019.
100%	p19_hact1564P19 hact1564	double	Estimated male labor force aged 15-64 in 2019.Estimated male labor force aged 15-64 in 2019.
100%	p19_hact1524P19 hact1524	double	Estimated male labor force aged 15-24 in 2019.Estimated male labor force aged 15-24 in 2019.
100%	p19_hact2554P19 hact2554	double	Estimated male labor force aged 25-54 in 2019.Estimated male labor force aged 25-54 in 2019.
100%	p19_hact5564P19 hact5564	double	Estimated male labor force aged 55-64 in 2019.Estimated male labor force aged 55-64 in 2019.
100%	p19_fact1564P19 fact1564	double	Estimated female labor force aged 15-64 in 2019.Estimated female labor force aged 15-64 in 2019.
100%	p19_fact1524P19 fact1524	double	Estimated female labor force aged 15-24 in 2019.Estimated female labor force aged 15-24 in 2019.
100%	p19_fact2554P19 fact2554	double	Estimated female labor force aged 25-54 in 2019.Estimated female labor force aged 25-54 in 2019.
100%	p19_fact5564P19 fact5564	double	Estimated female labor force aged 55-64 in 2019.Estimated female labor force aged 55-64 in 2019.
100%	p19_actocc1564P19 actocc1564	double	Estimated employed population aged 15-64 in 2019.Estimated employed population aged 15-64 in 2019.
100%	p19_actocc1524P19 actocc1524	double	Estimated employed population aged 15-24 in 2019.Estimated employed population aged 15-24 in 2019.
100%	p19_actocc2554P19 actocc2554	double	Estimated employed population aged 25-54 in 2019.Estimated employed population aged 25-54 in 2019.
100%	p19_actocc5564P19 actocc5564	double	Estimated employed population aged 55-64 in 2019.Estimated employed population aged 55-64 in 2019.
100%	p19_hactocc1564P19 hactocc1564	double	Estimated employed male population aged 15-64 in 2019.Estimated employed male population aged 15-64 in 2019.
100%	p19_hactocc1524P19 hactocc1524	double	Estimated employed male population aged 15-24 in 2019.Estimated employed male population aged 15-24 in 2019.
100%	p19_hactocc2554P19 hactocc2554	double	Estimated employed male population aged 25-54 in 2019.Estimated employed male population aged 25-54 in 2019.
100%	p19_hactocc5564P19 hactocc5564	double	Estimated employed male population aged 55-64 in 2019.Estimated employed male population aged 55-64 in 2019.
100%	p19_factocc1564P19 factocc1564	double	Estimated employed female population aged 15-64 in 2019.Estimated employed female population aged 15-64 in 2019.
100%	p19_factocc1524P19 factocc1524	double	Estimated employed female population aged 15-24 in 2019.Estimated employed female population aged 15-24 in 2019.
100%	p19_factocc2554P19 factocc2554	double	Estimated employed female population aged 25-54 in 2019.Estimated employed female population aged 25-54 in 2019.
100%	p19_chom_capbepP19 chom capbep	double	Estimated unemployed population holding a CAP/BEP diploma in 2019.Estimated unemployed population holding a CAP/BEP diploma in 2019.
100%	p19_factocc5564P19 factocc5564	double	Estimated employed female population aged 55-64 in 2019.Estimated employed female population aged 55-64 in 2019.
100%	p19_chom_bacP19 chom bac	double	Estimated unemployed population holding a baccalaureate diploma in 2019.Estimated unemployed population holding a baccalaureate diploma in 2019.
100%	p19_chom1564P19 chom1564	double	Estimated unemployed population aged 15-64 in 2019.Estimated unemployed population aged 15-64 in 2019.
100%	p19_chom_sup2P19 chom sup2	double	Estimated unemployed population holding a 2-year higher education diploma in 2019.Estimated unemployed population holding a 2-year higher education diploma in 2019.
100%	p19_chom1524P19 chom1524	double	Estimated unemployed population aged 15-24 in 2019.Estimated unemployed population aged 15-24 in 2019.
100%	p19_chom_sup34P19 chom sup34	double	Estimated unemployed population holding a 3-4 year higher education diploma in 2019.Estimated unemployed population holding a 3-4 year higher education diploma in 2019.
100%	p19_chom2554P19 chom2554	double	Estimated unemployed population aged 25-54 in 2019.Estimated unemployed population aged 25-54 in 2019.
100%	p19_chom_sup5P19 chom sup5	double	Estimated unemployed population holding a 5+ year higher education diploma in 2019.Estimated unemployed population holding a 5+ year higher education diploma in 2019.
100%	p19_chom5564P19 chom5564	double	Estimated unemployed population aged 55-64 in 2019.Estimated unemployed population aged 55-64 in 2019.
100%	p19_act_diplminP19 act diplmin	double	Estimated labor force with no diploma in 2019.Estimated labor force with no diploma in 2019.
100%	p19_chom_diplminP19 chom diplmin	double	Estimated unemployed population with no diploma in 2019.Estimated unemployed population with no diploma in 2019.
100%	p19_act_bepcP19 act bepc	double	Estimated labor force holding a BEPC diploma in 2019.Estimated labor force holding a BEPC diploma in 2019.
100%	p19_chom_bepcP19 chom bepc	double	Estimated unemployed population holding a BEPC diploma in 2019.Estimated unemployed population holding a BEPC diploma in 2019.
100%	p19_act_capbepP19 act capbep	double	Estimated labor force holding a CAP/BEP diploma in 2019.Estimated labor force holding a CAP/BEP diploma in 2019.
100%	p19_act_bacP19 act bac	double	Estimated labor force holding a baccalaureate diploma in 2019.Estimated labor force holding a baccalaureate diploma in 2019.
100%	p19_act_sup2P19 act sup2	double	Estimated labor force holding a 2-year higher education diploma in 2019.Estimated labor force holding a 2-year higher education diploma in 2019.
—	p19_act_sup34P19 act sup34	double	Estimated labor force holding a 3-4 year higher education diploma in 2019.Estimated labor force holding a 3-4 year higher education diploma in 2019.
—	p19_act_sup5P19 act sup5	double	Estimated labor force holding a 5+ year higher education diploma in 2019.Estimated labor force holding a 5+ year higher education diploma in 2019.
—	p19_inact1564P19 inact1564	double	Estimated inactive population aged 15-64 in 2019.Estimated inactive population aged 15-64 in 2019.
—	p19_hinact1564P19 hinact1564	double	Estimated inactive male population aged 15-64 in 2019.Estimated inactive male population aged 15-64 in 2019.
—	p19_finact1564P19 finact1564	double	Estimated inactive female population aged 15-64 in 2019.Estimated inactive female population aged 15-64 in 2019.
—	p19_etud1564P19 etud1564	double	Estimated student population aged 15-64 in 2019.Estimated student population aged 15-64 in 2019.
—	p19_hetud1564P19 hetud1564	double	Estimated male student population aged 15-64 in 2019.Estimated male student population aged 15-64 in 2019.
—	p19_fetud1564P19 fetud1564	double	Estimated female student population aged 15-64 in 2019.Estimated female student population aged 15-64 in 2019.
—	p19_retr1564P19 retr1564	double	Estimated retired population aged 15-64 in 2019.Estimated retired population aged 15-64 in 2019.
—	p19_hretr1564P19 hretr1564	double	Estimated retired male population aged 15-64 in 2019.Estimated retired male population aged 15-64 in 2019.
—	p19_fretr1564P19 fretr1564	double	Estimated retired female population aged 15-64 in 2019.Estimated retired female population aged 15-64 in 2019.
—	p19_ainact1564P19 ainact1564	double	Estimated other inactive population aged 15-64 in 2019.Estimated other inactive population aged 15-64 in 2019.
—	p19_hainact1564P19 hainact1564	double	Estimated other inactive male population aged 15-64 in 2019.Estimated other inactive male population aged 15-64 in 2019.
—	p19_fainact1564P19 fainact1564	double	Estimated other inactive female population aged 15-64 in 2019.Estimated other inactive female population aged 15-64 in 2019.
—	p19_actocc15pP19 actocc15p	double	Estimated employed population aged 15 and over in 2019.Estimated employed population aged 15 and over in 2019.
—	p19_hactocc15pP19 hactocc15p	double	Estimated employed male population aged 15 and over in 2019.Estimated employed male population aged 15 and over in 2019.
—	p19_factocc15pP19 factocc15p	double	Estimated employed female population aged 15 and over in 2019.Estimated employed female population aged 15 and over in 2019.
—	p19_sal15pP19 sal15p	double	Estimated salaried employees aged 15 and over in 2019.Estimated salaried employees aged 15 and over in 2019.
—	p19_hsal15pP19 hsal15p	double	Estimated male salaried employees aged 15 and over in 2019.Estimated male salaried employees aged 15 and over in 2019.
—	p19_fsal15pP19 fsal15p	double	Estimated female salaried employees aged 15 and over in 2019.Estimated female salaried employees aged 15 and over in 2019.
—	p19_nsal15pP19 nsal15p	double	Estimated self-employed workers aged 15 and over in 2019.Estimated self-employed workers aged 15 and over in 2019.
—	p19_hnsal15pP19 hnsal15p	double	Estimated self-employed male workers aged 15 and over in 2019.Estimated self-employed male workers aged 15 and over in 2019.
—	p19_fnsal15pP19 fnsal15p	double	Estimated self-employed female workers aged 15 and over in 2019.Estimated self-employed female workers aged 15 and over in 2019.
—	p19_actocc15p_tpP19 actocc15p tp	double	Estimated part-time employed population aged 15 and over in 2019.Estimated part-time employed population aged 15 and over in 2019.
—	p19_sal15p_tpP19 sal15p tp	double	Estimated part-time salaried employees aged 15 and over in 2019.Estimated part-time salaried employees aged 15 and over in 2019.
—	p19_hsal15p_tpP19 hsal15p tp	double	Estimated part-time male salaried employees aged 15 and over in 2019.Estimated part-time male salaried employees aged 15 and over in 2019.
—	p19_fsal15p_tpP19 fsal15p tp	double	Estimated part-time female salaried employees aged 15 and over in 2019.Estimated part-time female salaried employees aged 15 and over in 2019.
—	p19_nsal15p_tpP19 nsal15p tp	double	Estimated part-time self-employed workers aged 15 and over in 2019.Estimated part-time self-employed workers aged 15 and over in 2019.
—	p19_sal15p_cdiP19 sal15p cdi	double	Estimated salaried employees on permanent contracts (CDI) aged 15+ in 2019.Estimated salaried employees on permanent contracts (CDI) aged 15+ in 2019.
—	p19_sal15p_cddP19 sal15p cdd	double	Estimated salaried employees on fixed-term contracts (CDD) aged 15+ in 2019.Estimated salaried employees on fixed-term contracts (CDD) aged 15+ in 2019.
—	p19_sal15p_interimP19 sal15p interim	double	Estimated salaried employees on temporary agency contracts aged 15+ in 2019.Estimated salaried employees on temporary agency contracts aged 15+ in 2019.
—	p19_sal15p_empaidP19 sal15p empaid	double	Estimated salaried employees on subsidized employment contracts aged 15+ in 2019.Estimated salaried employees on subsidized employment contracts aged 15+ in 2019.
—	p19_sal15p_apprP19 sal15p appr	double	Estimated salaried employees on apprenticeship or internship contracts aged 15+ in 2019.Estimated salaried employees on apprenticeship or internship contracts aged 15+ in 2019.
—	p19_nsal15p_indepP19 nsal15p indep	double	Estimated self-employed independent workers aged 15+ in 2019.Estimated self-employed independent workers aged 15+ in 2019.
—	p19_nsal15p_employP19 nsal15p employ	double	Estimated self-employed employers aged 15+ in 2019.Estimated self-employed employers aged 15+ in 2019.
—	p19_nsal15p_aidfamP19 nsal15p aidfam	double	Estimated self-employed family helpers aged 15+ in 2019.Estimated self-employed family helpers aged 15+ in 2019.
—	p19_actocc15p_ilt1P19 actocc15p ilt1	double	Estimated employed population aged 15+ working in their commune of residence in 2019.Estimated employed population aged 15+ working in their commune of residence in 2019.
—	p19_actocc15p_ilt2pP19 actocc15p ilt2p	double	Estimated employed population aged 15+ working outside their commune of residence in 2019.Estimated employed population aged 15+ working outside their commune of residence in 2019.
—	p19_actocc15p_ilt2P19 actocc15p ilt2	double	Estimated employed population aged 15+ working in another commune of the same department in 2019.Estimated employed population aged 15+ working in another commune of the same department in 2019.
—	p19_actocc15p_ilt3P19 actocc15p ilt3	double	Estimated employed population aged 15+ working in another department of the same region in 2019.Estimated employed population aged 15+ working in another department of the same region in 2019.
—	p19_actocc15p_ilt4P19 actocc15p ilt4	double	Estimated employed population aged 15+ working in another region in 2019.Estimated employed population aged 15+ working in another region in 2019.
—	p19_actocc15p_ilt5P19 actocc15p ilt5	double	Estimated employed population aged 15+ working abroad or overseas in 2019.Estimated employed population aged 15+ working abroad or overseas in 2019.
—	c19_act1564C19 act1564	double	Count of labor force aged 15-64 in 2019 census tabulation.Count of labor force aged 15-64 in 2019 census tabulation.
—	c19_act1564_cs1C19 act1564 cs1	double	Count of labor force aged 15-64 in socio-professional category 1 (farmers) in 2019.Count of labor force aged 15-64 in socio-professional category 1 (farmers) in 2019.
—	c19_act1564_cs2C19 act1564 cs2	double	Count of labor force aged 15-64 in socio-professional category 2 (craftsmen, merchants, business owners) in 2019.Count of labor force aged 15-64 in socio-professional category 2 (craftsmen, merchants, business owners) in 2019.
—	c19_act1564_cs3C19 act1564 cs3	double	Count of labor force aged 15-64 in socio-professional category 3 (executives, higher professions) in 2019.Count of labor force aged 15-64 in socio-professional category 3 (executives, higher professions) in 2019.
—	c19_act1564_cs4C19 act1564 cs4	double	Count of labor force aged 15-64 in socio-professional category 4 (intermediate professions) in 2019.Count of labor force aged 15-64 in socio-professional category 4 (intermediate professions) in 2019.
—	c19_act1564_cs5C19 act1564 cs5	double	Count of labor force aged 15-64 in socio-professional category 5 (clerks/employees) in 2019.Count of labor force aged 15-64 in socio-professional category 5 (clerks/employees) in 2019.
—	c19_act1564_cs6C19 act1564 cs6	double	Count of labor force aged 15-64 in socio-professional category 6 (manual workers) in 2019.Count of labor force aged 15-64 in socio-professional category 6 (manual workers) in 2019.
—	c19_actocc1564C19 actocc1564	double	Count of employed population aged 15-64 in 2019.Count of employed population aged 15-64 in 2019.
—	c19_actocc1564_cs1C19 actocc1564 cs1	double	Count of employed population aged 15-64 in socio-professional category 1 (farmers) in 2019.Count of employed population aged 15-64 in socio-professional category 1 (farmers) in 2019.
—	c19_actocc1564_cs2C19 actocc1564 cs2	double	Count of employed population aged 15-64 in socio-professional category 2 (craftsmen, merchants, business owners) in 2019.Count of employed population aged 15-64 in socio-professional category 2 (craftsmen, merchants, business owners) in 2019.
—	c19_actocc1564_cs3C19 actocc1564 cs3	double	Count of employed population aged 15-64 in socio-professional category 3 (executives, higher professions) in 2019.Count of employed population aged 15-64 in socio-professional category 3 (executives, higher professions) in 2019.
—	c19_actocc1564_cs4C19 actocc1564 cs4	double	Count of employed population aged 15-64 in socio-professional category 4 (intermediate professions) in 2019.Count of employed population aged 15-64 in socio-professional category 4 (intermediate professions) in 2019.
—	c19_actocc1564_cs5C19 actocc1564 cs5	double	Count of employed population aged 15-64 in socio-professional category 5 (clerks/employees) in 2019.Count of employed population aged 15-64 in socio-professional category 5 (clerks/employees) in 2019.
—	c19_actocc1564_cs6C19 actocc1564 cs6	double	Count of employed population aged 15-64 in socio-professional category 6 (manual workers) in 2019.Count of employed population aged 15-64 in socio-professional category 6 (manual workers) in 2019.
—	c19_actocc15pC19 actocc15p	double	Count of employed population aged 15 and over in 2019.Count of employed population aged 15 and over in 2019.
—	c19_actocc15p_pasC19 actocc15p pas	double	Count of employed population aged 15+ with no transport commute in 2019.Count of employed population aged 15+ with no transport commute in 2019.
—	c19_actocc15p_marC19 actocc15p mar	double	Count of employed population aged 15+ commuting on foot in 2019.Count of employed population aged 15+ commuting on foot in 2019.
—	c19_actocc15p_veloC19 actocc15p velo	double	Count of employed population aged 15+ commuting by bicycle in 2019.Count of employed population aged 15+ commuting by bicycle in 2019.
—	c19_actocc15p_2rouesmotC19 actocc15p 2rouesmot	double	Count of employed population aged 15+ commuting by motorized two-wheeler in 2019.Count of employed population aged 15+ commuting by motorized two-wheeler in 2019.
—	c19_actocc15p_voitC19 actocc15p voit	double	Count of employed population aged 15+ commuting by car in 2019.Count of employed population aged 15+ commuting by car in 2019.
—	c19_actocc15p_tcomC19 actocc15p tcom	double	Count of employed population aged 15+ commuting by public transport in 2019.Count of employed population aged 15+ commuting by public transport in 2019.

Schema captured from opendatasoft 3 days ago.

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Sample data (5 records)

Record 1dep: 31 · reg: 76

{
  "dep": "31",
  "reg": "76",
  "uu2020": "00758",
  "geo_shape": "[large value omitted]",
  "grd_quart": "3155528",
  "p19_f1524": 456.096463474957,
  "p19_f1564": 2244.16148306438,
  "p19_f2554": 1331.47506506079,
  "p19_f5564": 456.589954528638,
  "p19_h1524": 555.249553034069,
  "p19_h1564": 2310.74091631454,
  "p19_h2554": 1420.59934685906,
  "p19_h5564": 334.892016421403,
  "code_insee": "31555",
  "p19_sal15p": 2565.0011999626,
  "c19_act1564": 3348.21651531752,
  "p19_act1524": 371.931377740481,
  "p19_act1564": 3357.21651207371,
  "p19_act2554": 2487.33339024815,
  "p19_act5564": 497.951744085072,
  "p19_act_bac": 507.86679868845,
  "p19_fsal15p": 1240.40401884488,
  "p19_hsal15p": 1324.59718111772,
  "p19_nsal15p": 359.976436416735,
  "p19_pop1524": 1011.34601650903,
  "p19_pop1564": 4554.90239937891,
  "p19_pop2554": 2752.07441191985,
  "p19_pop5564": 791.48197095004,
  "geo_point_2d": {
    "lat": 43.57772152490543,
    "lon": 1.4243685640462336
  },
  "p19_act_bepc": 129.564878131158,
  "p19_act_sup2": 461.180301756836,
  "p19_act_sup5": 1022.046029956,
  "p19_chom1524": 93.5925159554714,
  "p19_chom1564": 487.301303944577,
  "p19_chom2554": 354.488237089477,
  "p19_chom5564": 39.2205508996294,
  "p19_chom_bac": 83.0154912861151,
  "p19_etud1564": 622.069329164172,
  "p19_fact1524": 150.494372222182,
  "p19_fact1564": 1609.14377962437,
  "p19_fact2554": 1192.11552130649,
  "p19_fact5564": 266.533886095697,
  "p19_fnsal15p": 170.971101458762,
  "p19_hact1524": 221.437005518299,
  "p19_hact1564": 1748.07273244934,
  "p19_hact2554": 1295.21786894166,
  "p19_hact5564": 231.417857989375,
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Record 2dep: 31 · reg: 76

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Record 3dep: 31 · reg: 76

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Record 4dep: 31 · reg: 76

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Record 5dep: 31 · reg: 76

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}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/recensement-population-2019-grands-quartiers-activite

License

Licence Ouverte 2.0 (France / Etalab)Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.toulouse-metropole.fr/api/explore/v2.1/catalog/datasets/recensement-population-2019-grands-quartiers-activite/records?limit=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.

Full API documentation ↗

Rate limits

20 000 req/day

per ipmeasured

observed 3 days ago

Dataset

Volume & freshness

Records

Last upstream update

4 years ago

2023-03-14

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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