Datasets:

diegocaro
/

censo2024

id_vivienda int32	id_hogar int32	region int32	provincia int32	comuna int32	comuna_bajo_umbral int32	area int32	tipo_operativo int32	p12_tenencia_viv int32	p13_comb_cocina int32	p14_comb_calefaccion int32	p15a_serv_tel_movil int32	p15b_serv_compu int32	p15c_serv_tablet int32	p15d_serv_internet_fija int32	p15e_serv_internet_movil int32	p15f_serv_internet_satelital int32	tipologia_hogar int32
1	1	5	58	5,802	2	1	2	4	1	8	1	2	2	2	1	2	5
2	1	4	43	4,303	2	2	2	9	1	3	1	2	2	2	1	2	7
3	1	11	112	11,202	1	1	2	3	1	3	1	2	2	2	1	2	4
4	1	1	11	1,101	2	1	2	3	1	1	1	1	1	1	1	2	4
5	1	8	83	8,301	2	1	2	1	1	2	1	2	1	1	1	2	1
6	1	13	131	13,124	2	1	2	1	1	1	1	2	2	1	2	1	4
7	1	8	81	8,111	2	2	2	6	1	1	1	1	2	2	1	2	4
8	1	14	141	14,108	2	2	2	1	3	3	1	2	2	2	1	2	4
9	1	13	131	13,101	2	1	2	1	1	1	2	2	2	2	2	2	3
11	1	13	131	13,101	2	1	2	6	6	6	1	1	1	1	1	2	7
14	1	13	136	13,603	2	1	2	1	1	3	1	2	2	2	1	1	5
15	1	9	91	9,104	2	2	2	1	3	3	1	1	2	2	1	2	5
16	1	13	131	13,124	2	1	2	4	1	8	1	2	2	2	1	2	7
17	1	7	73	7,301	2	1	2	9	1	3	1	2	2	1	1	2	4
18	1	10	101	10,101	2	1	2	1	3	3	1	2	2	1	1	2	5
19	1	4	43	4,303	2	2	2	1	1	8	1	1	2	2	1	2	2
20	1	3	31	3,101	2	1	2	3	1	8	1	1	2	1	2	2	4
21	1	5	55	5,504	2	1	2	1	1	3	1	2	2	2	1	2	7
22	1	13	135	13,501	2	1	2	1	1	1	1	2	2	1	1	2	2
23	1	5	55	5,504	2	2	2	1	1	3	1	1	2	1	1	2	5
24	1	13	131	13,107	2	1	2	3	1	2	1	1	2	1	1	2	4
25	1	13	131	13,119	2	1	2	2	1	2	1	1	2	1	1	2	2
26	1	13	131	13,126	2	1	2	6	1	1	1	1	1	1	1	2	1
28	1	9	91	9,101	2	1	2	1	1	4	1	2	2	1	1	2	6
29	1	12	121	12,101	2	1	2	3	1	1	1	1	2	1	1	2	6
30	1	13	131	13,123	2	1	2	3	1	6	1	1	2	1	1	2	1
31	1	13	131	13,101	2	1	2	3	6	6	1	1	2	1	1	2	1
33	1	13	131	13,106	2	1	2	3	6	8	1	1	2	1	1	2	4
34	1	7	74	7,406	2	1	2	1	1	2	1	1	2	1	1	2	2
35	1	13	131	13,124	2	1	2	1	1	1	1	2	2	1	1	1	4
36	1	12	121	12,101	2	1	2	1	1	1	1	1	1	1	1	2	4
36	2	12	121	12,101	2	1	2	1	1	1	1	1	1	1	1	1	4
37	1	13	134	13,401	2	1	2	3	1	6	1	2	2	1	1	2	1
38	1	13	131	13,101	2	1	2	3	6	6	1	1	1	1	1	2	7
41	1	13	131	13,120	2	1	2	3	6	6	1	1	1	1	1	2	3
42	1	5	51	5,107	2	1	2	1	1	8	1	1	2	2	1	2	2
44	1	4	43	4,302	2	1	2	4	1	6	1	1	2	2	1	2	1
45	1	8	83	8,304	2	2	2	1	3	3	1	2	2	2	2	2	3
46	1	9	92	9,209	2	1	2	1	1	3	1	1	2	2	1	2	2
47	1	5	55	5,504	2	1	2	2	1	1	1	1	2	1	1	2	4
48	1	13	131	13,123	2	1	2	4	6	6	1	1	1	1	1	2	4
49	1	13	131	13,130	2	1	2	3	1	1	1	1	2	1	1	2	1
50	1	2	22	2,201	2	1	2	1	1	1	1	1	2	2	1	1	1
52	1	13	135	13,503	2	1	2	1	1	6	1	1	1	1	1	2	7
55	1	4	41	4,101	2	1	2	1	1	1	1	2	1	1	1	2	5
57	1	14	141	14,106	2	1	2	3	1	3	1	1	1	1	1	1	4
58	1	10	103	10,301	2	1	2	1	1	3	1	1	1	1	1	2	3
59	1	13	131	13,106	2	1	2	3	6	8	1	2	2	1	1	2	1
60	1	5	51	5,101	2	1	2	3	1	8	1	1	2	1	2	2	6
61	1	7	71	7,101	2	1	2	3	1	6	1	2	1	1	1	2	1
62	1	10	103	10,301	2	1	2	3	1	3	1	2	2	1	2	2	4
63	1	13	131	13,101	2	1	2	6	1	1	1	2	1	1	1	1	5
64	1	8	81	8,101	2	1	2	2	1	6	1	1	2	1	1	2	4
65	1	5	51	5,105	2	1	2	6	1	1	1	2	2	1	1	2	1
67	1	13	134	13,401	2	1	2	2	6	6	1	1	1	2	1	2	1
69	1	9	91	9,109	2	1	2	1	1	3	1	1	2	2	2	2	4
70	1	13	136	13,605	2	1	2	2	1	8	1	1	2	1	2	2	2
71	1	13	131	13,113	2	1	2	2	1	2	1	1	2	1	1	2	3
72	1	12	121	12,101	2	1	2	2	1	1	1	2	2	2	1	2	1
73	1	8	81	8,108	2	1	2	1	1	3	1	1	1	1	1	2	4
75	1	10	101	10,107	2	1	2	3	1	3	1	2	2	1	1	2	3
76	1	5	51	5,102	2	1	2	1	1	3	1	2	2	1	1	2	3
77	1	8	81	8,102	2	1	2	3	1	6	1	1	2	1	1	2	1
78	1	11	112	11,201	2	1	2	6	1	3	1	2	2	2	1	2	1
79	1	5	51	5,109	2	1	2	1	1	2	1	1	2	1	1	2	5
80	1	5	58	5,804	2	1	2	6	1	1	1	2	2	2	1	2	1
81	1	13	131	13,127	2	1	2	6	1	6	1	1	1	1	1	2	4
82	1	13	131	13,120	2	1	2	2	1	7	1	1	2	1	1	2	4
83	1	5	54	5,402	2	1	2	6	1	3	1	2	2	2	1	2	4
84	1	13	131	13,124	2	1	2	1	1	2	1	1	2	1	1	2	4
85	1	13	131	13,110	2	1	2	1	1	1	1	1	2	1	1	2	4
88	1	8	81	8,110	2	1	2	2	1	3	1	1	1	1	1	2	2
89	1	8	81	8,102	2	1	2	1	1	3	1	2	2	1	2	2	7
89	2	8	81	8,102	2	1	2	1	1	3	1	2	1	1	1	2	3
90	1	13	131	13,106	2	1	2	2	1	2	1	1	1	1	1	2	1
93	1	13	132	13,201	2	1	2	2	1	1	1	1	2	1	1	2	4
94	1	13	131	13,123	2	1	2	1	1	8	2	2	2	2	2	2	7
95	1	13	136	13,602	2	1	2	6	1	6	1	2	2	2	2	2	3
96	1	9	91	9,101	2	1	2	1	1	3	1	2	2	1	1	2	4
97	1	9	91	9,108	2	1	2	1	3	3	1	2	2	1	1	2	5
98	1	6	61	6,105	2	1	2	1	1	2	1	2	2	2	1	2	2
99	1	3	31	3,101	2	1	2	1	1	1	1	2	2	2	1	2	3
100	1	5	56	5,601	2	1	2	1	1	1	1	1	1	1	1	2	5
101	1	8	82	8,207	2	2	2	1	3	3	1	2	2	2	2	2	4
102	1	13	131	13,119	2	1	2	1	1	1	1	2	2	2	1	2	1
104	1	13	135	13,503	2	1	2	1	1	1	1	2	2	2	1	2	3
105	1	13	133	13,302	2	1	2	2	1	3	1	2	2	1	1	2	3
107	1	13	131	13,101	2	1	2	3	1	2	1	2	2	2	1	2	2
108	1	5	55	5,502	2	2	2	1	1	3	1	1	2	1	1	2	4
109	1	7	71	7,101	2	1	2	2	1	2	1	1	2	2	1	2	4
110	1	16	161	16,105	2	2	2	4	1	3	1	2	2	2	1	2	2
111	1	6	61	6,115	2	1	2	1	1	6	1	1	2	1	1	2	2
112	1	1	11	1,101	2	1	2	3	1	6	1	1	1	1	1	2	4
113	1	6	63	6,308	2	1	2	9	1	3	1	1	2	2	1	1	2
114	1	13	133	13,301	2	1	2	1	1	1	1	1	1	1	1	2	4
115	1	8	81	8,101	2	1	2	1	1	3	1	1	1	1	1	2	4
116	1	13	131	13,114	2	1	2	1	1	1	1	1	2	1	1	2	5
117	1	13	131	13,101	2	1	2	3	6	8	1	1	1	1	1	2	1
118	1	5	51	5,109	2	1	2	2	1	8	1	2	2	2	1	2	1
119	1	5	53	5,302	2	2	2	1	1	3	1	2	2	1	1	2	3

End of preview. Expand in Data Studio

Este dataset contiene los Microdatos del Censo 2024 de Chile. El notebook utilizado para crear estos datasets está en https://github.com/diegocaro/censo2024/blob/main/notebooks/1.1-dc-preprocess-data.ipynb

Downloads last month: 17

Size of downloaded dataset files:

459 MB

Size of the auto-converted Parquet files:

459 MB

Number of rows:

32,767,495