Datasets:

atlas-da-saude-mental
/

mapa-da-discriminacao-racial-no-brasil

cod_mun int64 1.1M 5.3M	coef float64 0.16 2.79	mulher_negra float64 -1.28 1.32	homem_negro float64 -1.88 0.53	mulher_branca float64 -1.07 1.46	superior float64 0.09 1.89	medio float64 -0.22 1.02	fundamental float64 -0.32 0.68	v float64 -0.01 0.03	idade_ float64 -0 0
1,400,027	1.257401	-0.306034	-0.228474	-0.356249	1.371328	0.400371	0.077729	0.012511	-0.000182
1,400,050	0.964818	0.07526	-0.041925	-0.114593	1.1684	0.373046	0.222042	0.01484	-0.000156
1,400,100	1.161721	-0.40757	-0.16828	-0.253628	1.343399	0.453982	0.176063	0.020483	-0.000186
1,400,159	1.027954	-0.243107	-0.11071	-0.39103	1.307399	0.433196	0.324922	0.014761	-0.000175
1,400,175	1.249188	-0.143825	-0.108771	-0.087176	1.147944	0.530286	0.293665	0.012063	-0.000198
1,400,209	1.024916	-0.252943	-0.160521	-0.183624	1.058029	0.551646	0.307992	0.014379	-0.000183
1,400,233	1.047001	-0.064989	-0.041885	0.017393	0.960866	0.427392	0.122237	0.009718	-0.000176
1,400,282	1.757279	-0.301268	-0.070336	-0.244959	0.844527	0.34605	0.100589	0.00684	-0.000348
1,400,308	1.068458	-0.2236	-0.08119	-0.128158	1.200073	0.397055	0.252702	0.015246	-0.000126
1,400,407	2.001079	-0.442883	-0.253834	-0.427463	0.727499	0.119541	0.083821	0.008183	-0.000189
1,400,456	1.42876	-0.55389	-0.334859	-0.543757	0.968912	0.392665	0.257653	0.016925	-0.000188
1,400,472	1.62622	-0.311983	-0.236864	-0.28983	0.977977	0.360534	0.250641	0.006031	-0.000255
1,400,506	0.737634	-0.147273	-0.061162	0.041482	1.278826	0.381957	0.300652	0.015974	-0.000105
1,400,605	1.340614	-0.212861	-0.085891	-0.026435	1.194292	0.302181	0.254287	0.014345	-0.000366
1,400,704	1.154294	0.182746	0.162788	1.455783	0.533229	-0.042519	0.217482	0.018583	-0.000126
4,200,051	0.953833	-0.687753	-0.44894	-0.133026	0.879324	0.23515	0.137035	0.015561	-0.000163
4,200,101	1.115526	-0.421875	-0.285292	-0.356412	1.043567	0.362544	0.144582	0.013732	-0.000076
4,200,200	1.405891	-0.48847	-0.165148	-0.282886	0.887827	0.39776	0.170722	0.011786	-0.000159
4,200,309	1.488906	-0.160882	-0.030043	-0.176508	0.759014	0.315777	0.157641	0.008392	-0.000115
4,200,408	1.477607	-0.533605	-0.231067	-0.334493	0.948908	0.479081	0.252264	0.012289	-0.000196
4,200,507	1.543167	-0.39576	-0.105918	-0.325695	1.009774	0.355314	0.189745	0.006443	-0.000167
4,200,556	1.535662	-0.311617	-0.076828	-0.373041	0.804509	0.206998	0.138278	0.003992	-0.000071
4,200,606	1.532663	-0.374543	-0.097444	-0.317018	0.763807	0.27922	0.186642	0.006026	-0.000128
4,200,705	1.250699	-0.440282	-0.10612	-0.185591	0.873965	0.293741	0.190693	0.011663	-0.000152
4,200,754	1.106326	-0.286677	-0.128073	-0.241009	1.122684	0.35731	0.212747	0.011616	-0.00013
4,200,804	1.217531	-0.336301	-0.246122	-0.425673	1.107331	0.363451	0.210919	0.007751	-0.000065
4,200,903	1.216418	-0.46944	0.222179	-0.312418	0.973166	0.512298	0.295913	0.014114	-0.000228
4,201,000	1.388417	-0.290106	-0.102119	-0.179964	1.085474	0.467356	0.186021	0.007686	-0.000269
4,201,109	0.815453	-0.282837	0.014298	-0.103304	0.923699	0.410774	0.284559	0.013329	-0.000104
4,201,208	1.84246	-0.682907	-0.043907	-0.383052	0.776584	0.247115	0.232245	0.005445	-0.000166
4,201,257	1.557856	-0.271019	-0.067493	-0.247584	0.636463	0.233915	0.235479	0.006538	-0.000142
4,201,273	1.276641	-0.360998	-0.034459	-0.204231	0.735257	0.163672	0.202846	0.011129	-0.000104
4,201,307	1.381732	-0.291851	-0.066936	-0.312064	0.895701	0.291808	0.152009	0.008487	-0.000088
4,201,406	1.269054	-0.382662	-0.127524	-0.377086	1.060093	0.392858	0.181374	0.014475	-0.000141
4,201,505	1.216336	-0.229719	-0.10327	-0.232074	0.778788	0.279319	0.100953	0.009304	-0.0001
4,201,604	1.234943	-0.189863	-0.206903	-0.347602	0.741015	0.16161	0.136615	0.014057	-0.000069
4,201,653	1.391826	-0.398463	-0.104669	-0.194549	1.00202	0.29561	0.208899	0.004554	-0.000121
4,201,703	1.545395	-0.292735	0.042184	-0.18545	0.641985	0.171216	0.087394	0.004676	-0.000087
4,201,802	1.360206	-0.329698	-0.304882	-0.219025	0.822441	0.472477	0.189106	0.013646	-0.000223
4,201,901	1.543954	-0.727371	-0.250082	-0.292576	0.650608	0.258244	0.129701	0.008028	-0.000105
4,201,950	1.370179	-0.478125	-0.048052	-0.315537	0.951212	0.344415	0.129849	0.009896	-0.000142
4,202,008	1.532218	-0.424995	-0.101383	-0.352479	0.98104	0.361331	0.200278	0.017069	-0.000181
4,202,057	1.343555	-0.375196	-0.093073	-0.308345	0.844315	0.354572	0.231352	0.009575	-0.000153
4,202,073	1.271954	-0.55208	-0.089015	-0.372605	1.045363	0.313291	0.183241	0.008855	-0.000093
4,202,081	0.726158	-0.097683	-0.087495	-0.236315	0.975079	0.368287	0.25206	0.011406	0.000025
4,202,099	1.674967	-0.500634	-0.21208	-0.133058	0.691928	0.212354	0.057268	0.000572	-0.000209
4,202,107	1.555366	-0.461575	-0.054076	-0.385552	0.929337	0.371323	0.120827	0.008799	-0.000141
4,202,131	1.131248	-0.200054	-0.122001	-0.08306	0.856049	0.270449	0.105676	0.007441	-0.000156
4,202,156	1.162186	-0.345249	-0.330566	-0.113084	0.664468	0.235666	0.167526	0.012075	-0.000121
4,202,206	1.53732	-0.227491	-0.167799	-0.283231	0.791162	0.249979	0.108789	0.005124	-0.000104
4,202,305	1.824002	-0.486786	-0.100982	-0.373291	0.758565	0.239101	0.120978	0.010468	-0.000234
4,202,404	1.47788	-0.434856	-0.137122	-0.336167	0.980314	0.348181	0.136906	0.015599	-0.000157
4,202,438	1.079691	-0.323607	-0.160769	-0.230977	1.022431	0.329246	0.158558	0.005466	-0.00007
4,202,453	1.51752	-0.413115	-0.092177	-0.322823	0.73857	0.301054	0.143004	0.013968	-0.000147
4,202,503	1.194085	-0.312149	-0.164798	-0.346081	1.112331	0.393225	0.202977	0.01171	-0.000152
4,202,537	1.260116	-0.437057	-0.102307	-0.391138	0.915952	0.338492	0.32452	0.010338	-0.000064
4,202,578	1.8151	-0.442366	-0.21096	-0.161941	0.529892	0.016761	-0.004517	-0.000167	-0.000135
4,202,602	1.313705	-0.415761	-0.142795	-0.349224	0.774576	0.279382	0.052748	0.012369	-0.000145
4,202,701	1.791258	-0.459694	-0.045225	-0.362479	0.584275	0.182509	0.130335	0.005973	-0.000155
4,202,800	1.236433	-0.423528	-0.102111	-0.325683	0.816227	0.304736	0.193839	0.013211	-0.000093
4,202,859	1.741827	-0.722494	-0.154512	-0.316536	0.575167	0.333645	0.16476	0.005861	-0.00017
4,202,875	0.691761	-0.064177	-0.107485	-0.333159	0.989865	0.244585	0.267848	0.018113	-0.000079
4,202,909	1.935139	-0.477518	-0.137682	-0.374709	0.800565	0.283921	0.124432	0.012652	-0.000282
4,203,006	1.2867	-0.414766	-0.161127	-0.336281	1.08393	0.379556	0.16503	0.01319	-0.000132
4,203,105	1.14673	-0.413579	-0.16088	-0.280538	0.887436	0.265142	0.22219	0.010907	-0.000059
4,203,154	1.243714	-0.364382	-0.064716	-0.271869	0.994175	0.46134	0.176917	0.009109	-0.00016
4,203,204	1.545731	-0.444969	-0.161995	-0.351559	0.782062	0.209767	0.118542	0.010325	-0.000078
4,203,253	0.739645	-0.2128	0.000185	-0.235599	1.025065	0.359181	0.289247	0.012513	-0.000061
4,203,303	1.148384	-0.373302	-0.154524	-0.296446	0.796305	0.330497	0.234906	0.009497	-0.000123
4,203,402	1.032383	-0.169816	-0.05916	-0.28672	0.961762	0.469615	0.132865	0.009414	-0.000134
4,203,501	1.044079	-0.328597	-0.19353	-0.257728	1.09976	0.563495	0.185891	0.009235	-0.000053
4,203,600	1.260812	-0.456704	-0.0945	-0.427151	1.068022	0.435242	0.257405	0.014254	-0.000161
4,203,709	1.293858	-0.441531	-0.005284	-0.305849	0.796232	0.206466	0.200232	0.010607	-0.000052
4,203,808	0.850788	-0.344224	-0.129575	-0.267466	1.077106	0.46911	0.289078	0.016997	-0.000099
4,203,907	1.426642	-0.403698	-0.15493	-0.320908	0.906741	0.264209	0.148113	0.010561	-0.000138
4,203,956	1.420285	-0.517545	-0.177474	-0.400039	0.740716	0.255498	0.141887	0.012263	-0.000126
4,204,004	1.177307	-0.408013	-0.186766	-0.402799	1.027994	0.367678	0.256195	0.013136	-0.000093
4,204,103	1.164344	-0.129048	-0.095892	-0.270062	1.065462	0.354901	0.191138	0.010306	-0.000104
4,204,152	0.957836	-0.387465	-0.383553	-0.390612	1.131031	0.482875	0.265631	0.018012	-0.000269
4,204,178	0.797781	-0.279915	-0.184156	-0.07301	1.161981	0.577809	0.533608	0.00939	-0.000079
4,204,194	1.081497	-0.319521	-0.208807	-0.181772	0.949581	0.461248	0.070319	0.010056	-0.000131
4,204,202	1.368499	-0.445563	-0.140214	-0.378462	1.054	0.406114	0.157323	0.015394	-0.000148
4,204,251	1.451811	-0.430121	-0.129299	-0.431326	0.82446	0.274827	0.117534	0.012622	-0.000134
4,204,301	1.213373	-0.292908	-0.103386	-0.32413	0.970674	0.344255	0.180261	0.013762	-0.00009
4,204,350	1.336952	-0.306742	-0.107811	-0.337779	0.906509	0.386775	0.203056	0.010374	-0.000124
4,204,400	1.332056	-0.554526	-0.326265	-0.368296	0.733774	0.269017	0.17717	0.012797	-0.000129
4,204,459	1.325212	-0.512631	-0.431946	-0.143686	0.865915	0.431841	0.335308	0.00973	-0.000193
4,204,509	1.537263	-0.382795	-0.103925	-0.270267	0.733413	0.253551	0.139693	0.009564	-0.000147
4,204,558	1.004383	-0.38446	-0.100722	-0.410653	0.887602	0.491664	0.234901	0.015672	-0.000085
4,204,608	1.327145	-0.498509	-0.131065	-0.408209	1.026771	0.367013	0.156746	0.016302	-0.000134
4,204,707	1.534851	-0.43829	-0.211444	-0.391508	0.929279	0.188592	0.126036	0.01237	-0.000169
4,204,756	1.336603	-0.124455	-0.623287	-0.452925	0.725495	0.04718	0.015307	0.010226	-0.000043
4,204,806	1.082241	-0.373369	-0.16613	-0.273892	0.960325	0.423279	0.200023	0.014133	-0.000104
4,204,905	1.27529	-0.404105	-0.103814	-0.277751	0.840762	0.301483	0.127467	0.009472	-0.000095
4,205,001	0.862907	-0.383153	-0.176632	-0.314292	1.236023	0.59099	0.250934	0.016847	-0.000089
4,205,100	1.359559	-0.159528	0.137591	-0.20769	0.84285	0.3717	0.1957	0.007804	-0.000119
4,205,159	1.642662	-0.297598	-0.065086	-0.190144	0.672586	0.255058	0.138431	0.008634	-0.00024
4,205,175	1.40971	-0.671373	-0.405165	-0.315265	0.926937	0.512078	0.568262	0.012183	-0.000274
4,205,191	1.012808	-0.391069	-0.26455	-0.307737	0.786802	0.278903	0.28569	0.016032	-0.000089
4,205,209	1.242662	-0.466451	-0.349228	-0.426101	0.873962	0.379505	0.177064	0.010035	-0.00008

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Mapa da Discriminação Racial no Brasil

Este dataset contém coeficientes de discriminação racial por município no Brasil, calculados a partir de dados do Censo Demográfico.

Variáveis

cod_mun: Código do município (IBGE)
coef: Coeficiente base (intercepto) para cada município
mulher_negra: Coeficiente para mulheres negras
homem_negro: Coeficiente para homens negros
mulher_branca: Coeficiente para mulheres brancas
superior: Coeficiente para pessoas com ensino superior
medio: Coeficiente para pessoas com ensino médio
fundamental: Coeficiente para pessoas com ensino fundamental
idade: Coeficiente para idade
idade_2: Coeficiente para idade ao quadrado (efeito não-linear da idade)

Interpretação

Os coeficientes representam a magnitude da discriminação racial e de gênero em cada município. Valores negativos indicam maior discriminação, enquanto valores positivos indicam menor discriminação.

Exemplos de interpretação:

Um coeficiente negativo para mulher_negra indica discriminação contra mulheres negras naquele município
Um coeficiente positivo para superior indica menor discriminação para pessoas com ensino superior
O coeficiente idade mostra como a discriminação varia com a idade
O coeficiente idade_2 captura efeitos não-lineares da idade na discriminação

Metodologia

Os coeficientes foram calculados usando modelos estatísticos que controlam para:

Nível educacional
Idade
Gênero
Raça/cor

Uso

Este dataset pode ser usado para:

Mapear a distribuição geográfica da discriminação racial no Brasil
Identificar municípios com maior/menor discriminação
Analisar como a discriminação varia com características demográficas
Monitorar mudanças na discriminação ao longo do tempo

Downloads last month: 14

Size of downloaded dataset files:

973 kB

Size of the auto-converted Parquet files:

516 kB

Number of rows:

5,565