Commit inicial. Carga de archivos actuales hasta este momento.
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La preparación de los archivos de datos fueron hechas con R y con Pandas de Python. Las gráficas animadas con Python y las gráficas estáticas con Matplotlib de Python.
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HOMICIDIOS DOLOSOS Y PERSONAS DESAPARECIDAS EN MÉXICO
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Enseguida se presentan gráficas sobre la evolución de las cifras en cuanto a homicidios dolosos y personas desaparecidas en México. Los datos fueron obtenidos de información pública del INEGI y del RNPDNO (Registro Nacional de Personas Desaparecidas y No Localizadas), este último recientemente dado a conocer. Los sitios son:
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https://www.inegi.org.mx/sistemas/olap/proyectos/bd/continuas/mortalidad/defuncioneshom.asp?s=est
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https://versionpublicarnpdno.segob.gob.mx/Dashboard/ContextoGeneral
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Atte.: Braquistos
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-----
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HOMICIDIOS DOLOSOS
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La gráfica estática muestra los datos de todo el país por año en azul y la tasa de crecimiento o decrecimiento marcados como alfileres en color naranja. Los valores positivos de la tasa indican una tendencia a la alza, cuanto más grande sea su valor la tendencia es mayor, en tanto que valores negativos indican una tendencia a la baja. De esa forma, hasta la fecha en 2017 se ha presentado la mayor tendencia a la alza y en 2022 la mayor tendencia a la baja.
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PERSONAS DESAPARECIDAS
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La categorización en el sitio de RNPDNO es como "Personas desaparecidas", "No localizadas" y "Localizadas". Estas últimas se dividen en "Localizadas sin vida" y "Localizadas con vida". La diferencia entre "Personas desaparecidas" y "No localizadas" está en que en el primer caso se presume que la condición es como consecuencia de la comisión de un delito. Para más detalles consultar directamente en el sitio. Las gráficas sólo muestran el caso de "Personas desaparecidas".
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La gráfica animada muestra la suma de hombres, mujeres y personas no identificadas por entidad federativa a lo largo de los años. Existe una cantidad de personas desaparecidas de las que no hay datos de fecha, en este caso la información se incorporó de manera proporcional a lo largo del tiempo por cada entidad federativa.
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PERSONAS DESAPARECIDAS
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De la misma forma que en la gráfica estática de Homicidios dolosos, esta gráfica también muestra los datos por año de todo el país en azul y la tasa de crecimiento o decrecimiento en color naranja. La tendencia a la alza está dada por los valores positivos de la tasa, mientras que los valores negativos es una tendencia a la baja. Así, la mayor tendencia a la alza hasta el momento se presentó en 2010 en tanto que la mayor tendencia a la baja lo hizo en el año de 2020.
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Defunciones por homicidios
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,Mes de registro : Total
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,
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Consulta de: Defunciones por homicidio Por: Año de registro Según: Ent y mun de ocurrencia
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, Total, Aguascalientes, Baja California, Baja California Sur, Campeche, Coahuila de Zaragoza, Colima, Chiapas, Chihuahua, Ciudad de México, Durango, Guanajuato, Guerrero, Hidalgo, Jalisco, México, Michoacán de Ocampo, Morelos, Nayarit, Nuevo León, Oaxaca, Puebla, Querétaro, Quintana Roo, San Luis Potosí, Sinaloa, Sonora, Tabasco, Tamaulipas, Tlaxcala, Veracruz de Ignacio de la Llave, Yucatán, Zacatecas, Extranjero, No especificado
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1990,"14,493", 43, 260, 12, 82, 182, 78, 272, 306,"1,272", 289, 361, 770, 202, 832,"3,449","1,170", 379, 243, 72,"1,211", 526, 82, 57, 234, 445, 166, 132, 266, 47, 776, 65, 145, 67,
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1991,"15,128", 53, 283, 16, 65, 235, 99, 470, 454,"1,100", 335, 397,"1,005", 150, 782,"3,464","1,163", 342, 232, 91,"1,282", 422, 77, 53, 210, 542, 193, 119, 338, 31, 843, 63, 138, 81,
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1992,"16,594", 35, 313, 18, 87, 229, 121, 437, 462,"1,259", 601, 352,"1,578", 122, 783,"3,354","1,389", 376, 251, 120,"1,275", 540, 78, 54, 258, 594, 241, 136, 407, 46, 753, 48, 165, 112,
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1993,"16,040", 32, 290, 21, 77, 220, 70, 504, 456,"1,249", 344, 379,"1,296", 131, 781,"3,315","1,345", 493, 253, 121,"1,335", 597, 80, 80, 240, 552, 210, 154, 369, 45, 696, 59, 144, 102,
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1994,"15,839", 23, 352, 28, 74, 214, 78, 648, 573,"1,180", 347, 324,"1,198", 158, 703,"3,185","1,270", 463, 268, 134,"1,175", 496, 101, 156, 234, 596, 249, 239, 355, 42, 703, 47, 121, 105,
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1995,"15,612", 34, 398, 32, 98, 176, 62, 708, 747,"1,361", 307, 284,"1,260", 156, 781,"2,748","1,124", 353, 193, 123,"1,183", 599, 88, 74, 209, 617, 315, 234, 321, 71, 617, 49, 164, 126,
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1996,"14,505", 31, 380, 25, 80, 168, 45, 653, 648,"1,278", 257, 288,"1,027", 127, 750,"2,762","1,124", 346, 123, 111,"1,128", 478, 104, 63, 208, 646, 331, 185, 275, 61, 554, 42, 119, 88,
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1997,"13,552", 23, 338, 36, 78, 152, 51, 605, 648,"1,216", 243, 296,"1,074", 140, 628,"2,465", 841, 302, 155, 117, 976, 502, 107, 87, 203, 595, 276, 163, 280, 68, 634, 46, 120, 87,
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1998,"13,656", 44, 581, 19, 87, 143, 64, 824, 628,"1,216", 243, 308,"1,129", 148, 559,"2,378", 644, 315, 130, 131, 964, 496, 83, 79, 315, 563, 304, 145, 323, 64, 494, 45, 122, 68,
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1999,"12,249", 24, 637, 34, 77, 145, 60, 605, 547,"1,043", 214, 255, 957, 117, 549,"2,139", 639, 309, 124, 108, 789, 453, 92, 86, 287, 525, 286, 147, 288, 75, 442, 34, 82, 80,
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2000,"10,737", 17, 440, 28, 66, 120, 57, 429, 588, 924, 161, 233, 804, 87, 475,"2,012", 596, 238, 107, 109, 709, 393, 105, 74, 274, 458, 201, 93, 264, 56, 423, 43, 80, 73,
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2001,"10,285", 23, 404, 23, 53, 155, 57, 173, 621, 983, 166, 224, 641, 119, 495,"1,932", 630, 210, 108, 92, 640, 423, 108, 103, 230, 488, 257, 101, 188, 52, 380, 37, 91, 78,
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2002,"10,088", 27, 427, 32, 54, 140, 43, 475, 634, 939, 177, 210, 616, 53, 480,"1,948", 534, 175, 147, 105, 608, 377, 69, 70, 158, 472, 223, 97, 186, 52, 352, 47, 96, 65,
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2003,"10,087", 25, 454, 25, 44, 121, 42, 443, 542, 975, 213, 220, 600, 71, 478,"1,912", 557, 169, 110, 148, 621, 348, 84, 136, 145, 419, 229, 116, 227, 39, 406, 42, 91, 35,
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2004,"9,329", 21, 480, 29, 37, 117, 53, 223, 478, 948, 166, 177, 591, 88, 411,"1,734", 552, 158, 140, 114, 626, 364, 74, 137, 136, 381, 252, 110, 217, 52, 331, 36, 94, 2,
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2005,"9,921", 25, 439, 34, 47, 154, 49, 303, 570, 878, 169, 216, 589, 73, 443,"2,018", 680, 138, 131, 151, 547, 316, 80, 76, 136, 436, 259, 99, 348, 49, 344, 38, 78, 8,
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2006,"10,452", 26, 465, 26, 33, 104, 43, 538, 648, 819, 181, 207, 788, 48, 480,"1,748", 988, 141, 103, 169, 520, 353, 61, 67, 159, 457, 249, 145, 358, 45, 359, 42, 77, 5,
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2007,"8,867", 44, 369, 35, 50, 107, 43, 101, 518, 848, 178, 219, 764, 74, 450,"1,243", 556, 126, 108, 279, 563, 274, 56, 121, 142, 397, 321, 146, 193, 36, 380, 49, 73, 4,
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2008,"14,006", 59,"1,031", 38, 54, 175, 56, 262,"2,604", 931, 426, 296,"1,001", 75, 547,"1,579", 658, 215, 155, 241, 617, 352, 73, 144, 199, 820, 435, 154, 265, 54, 341, 49, 98, 2,
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2009,"19,803", 67,"1,530", 34, 58, 270, 61, 514,"3,680", 981,"1,033", 492,"1,851", 145, 681,"1,864", 934, 259, 195, 342, 598, 360, 89, 141, 211,"1,413", 573, 173, 315, 81, 692, 37, 129, ,
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2010,"25,757", 75,"1,525", 55, 48, 449, 131, 199,"6,421","1,078","1,112", 446,"1,567", 113,"1,081","2,114", 707, 494, 541, 928, 731, 376, 73, 145, 363,"2,397", 740, 194, 963, 56, 461, 34, 140, ,
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2011,"27,213", 105, 822, 50, 51, 718, 169, 196,"4,487","1,100","1,085", 616,"2,397", 211,"1,527","2,627", 853, 435, 583,"2,149", 685, 440, 109, 164, 364,"1,967", 542, 230,"1,097", 89, 999, 53, 292, 1,
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2012,"25,967", 48, 587, 37, 81,"1,146", 265, 389,"2,776","1,086", 838, 692,"2,638", 161,"1,558","2,900", 830, 672, 288,"1,833", 696, 465, 114, 154, 455,"1,380", 526, 195,"1,557", 75,"1,017", 42, 463, 3,
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2013,"23,063", 49, 771, 49, 71, 798, 227, 493,"2,136","1,107", 475, 701,"2,283", 168,"1,488","3,311", 919, 630, 226, 932, 762, 560, 119, 164, 302,"1,206", 659, 247, 882, 88, 761, 49, 430, ,
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2014,"20,010", 46, 714, 93, 78, 475, 138, 460,"1,758","1,089", 348, 802,"1,727", 210,"1,040","2,918", 930, 439, 173, 575, 745, 565, 107, 125, 270,"1,154", 665, 236, 910, 93, 881, 48, 197, 1,
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2015,"20,762", 47, 852, 181, 67, 314, 229, 546,"1,541","1,079", 207, 969,"2,421", 235,"1,228","2,688", 873, 469, 146, 474, 810, 632, 140, 145, 265,"1,089", 585, 364, 682, 79,"1,007", 58, 337, 3,
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2016,"24,559", 49,"1,151", 238, 93, 259, 612, 552,"1,795","1,280", 215,"1,231","2,587", 220,"1,302","2,768","1,429", 658, 149, 627, 798, 736, 137, 193, 335,"1,294", 580, 431, 807, 95,"1,293", 64, 580, 1,
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2017,"32,079", 80,"2,155", 740, 74, 261, 828, 592,"2,168","1,319", 205,"2,241","2,597", 309,"1,565","3,072","1,726", 654, 470, 664, 995,"1,082", 217, 451, 502,"1,629", 749, 447,"1,198", 124,"1,808", 52, 703, , 402
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2018,"36,685", 77,"2,855", 181, 76, 220, 683, 518,"2,753","1,457", 150,"3,412","2,164", 302,"2,773","3,134","1,970", 818, 363, 840,"1,099","1,173", 227, 822, 529,"1,107", 905, 528,"1,073", 144,"1,458", 57, 714, ,"2,103"
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2019,"36,661", 96,"2,762", 95, 79, 279, 706, 620,"2,666","1,283", 165,"3,855","1,907", 478,"2,481","3,224","2,420","1,050", 213, 981,"1,143","1,242", 221, 718, 508,"1,126","1,367", 688, 863, 190,"1,446", 46, 678, ,"1,065"
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2020,"36,773", 84,"2,926", 70, 66, 231, 624, 536,"3,452","1,334", 146,"5,083","1,457", 364,"2,162","3,061","2,375", 986, 182, 919, 858, 960, 226, 623, 794, 860,"1,563", 581, 780, 153,"1,142", 72,"1,226", , 877
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2021,"35,700", 99,"3,218", 71, 87, 160, 551, 566,"2,724","1,072", 147,"4,171","1,437", 285,"2,260","3,114","2,677","1,196", 220,"1,070", 773, 813, 228, 669, 794, 633,"2,069", 447, 733, 160, 922, 55,"1,767", , 512
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2022,"32,223", 83,"2,558", 79, 89, 157, 826, 487,"1,998", 737, 119,"4,083","1,357", 378,"1,821","3,213","2,261","1,144", 181,"1,375", 725,"1,004", 187, 599, 741, 494,"1,687", 328, 432, 146, 618, 46,"1,419", , 851
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FUENTE: INEGI. Estadísticas de mortalidad.
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Can't render this file because it has a wrong number of fields in line 2.
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#!/usr/bin/python3
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# -*- coding: utf-8 -*-
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import pandas as pd
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import bar_chart_race as bcr
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archData = 'homicidios03.csv'
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archVideo = 'sal01.mp4'
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data = pd.read_csv(archData,
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encoding = 'ISO-8859-1',
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index_col = 0,
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na_values = ['_', 'D']
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)
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data = data.fillna(0)
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data = data.drop(['Total', 'No especificado'], axis = 1)
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#print(data.iloc[0:32, [0, 9, 10, 11, 12, 13, 14, 15, 16]])
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#print(data)
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df = data
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bcr.bar_chart_race(df,
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n_bars = 11,
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filename = archVideo,
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fixed_max = True,
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steps_per_period = 20,
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period_length = 3000,
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title = 'Homicidios Dolosos en México',
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filter_column_colors = True,
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)
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Año,Total,Aguascalientes,Baja California,Baja California Sur,Campeche,Coahuila,Colima,Chiapas,Chihuahua,CdMx,Durango,Guanajuato,Guerrero,Hidalgo,Jalisco,Estado de México,Michoacán,Morelos,Nayarit,Nuevo León,Oaxaca,Puebla,Querétaro,Quintana Roo,San Luis Potosí,Sinaloa,Sonora,Tabasco,Tamaulipas,Tlaxcala,Veracruz,Yucatán,Zacatecas,Extranjero,No especificado
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1990,14493,43,260,12,82,182,78,272,306,1272,289,361,770,202,832,3449,1170,379,243,72,1211,526,82,57,234,445,166,132,266,47,776,65,145,67,
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1991,15128,53,283,16,65,235,99,470,454,1100,335,397,1005,150,782,3464,1163,342,232,91,1282,422,77,53,210,542,193,119,338,31,843,63,138,81,
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1992,16594,35,313,18,87,229,121,437,462,1259,601,352,1578,122,783,3354,1389,376,251,120,1275,540,78,54,258,594,241,136,407,46,753,48,165,112,
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1993,16040,32,290,21,77,220,70,504,456,1249,344,379,1296,131,781,3315,1345,493,253,121,1335,597,80,80,240,552,210,154,369,45,696,59,144,102,
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1994,15839,23,352,28,74,214,78,648,573,1180,347,324,1198,158,703,3185,1270,463,268,134,1175,496,101,156,234,596,249,239,355,42,703,47,121,105,
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1995,15612,34,398,32,98,176,62,708,747,1361,307,284,1260,156,781,2748,1124,353,193,123,1183,599,88,74,209,617,315,234,321,71,617,49,164,126,
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1996,14505,31,380,25,80,168,45,653,648,1278,257,288,1027,127,750,2762,1124,346,123,111,1128,478,104,63,208,646,331,185,275,61,554,42,119,88,
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1997,13552,23,338,36,78,152,51,605,648,1216,243,296,1074,140,628,2465,841,302,155,117,976,502,107,87,203,595,276,163,280,68,634,46,120,87,
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1998,13656,44,581,19,87,143,64,824,628,1216,243,308,1129,148,559,2378,644,315,130,131,964,496,83,79,315,563,304,145,323,64,494,45,122,68,
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1999,12249,24,637,34,77,145,60,605,547,1043,214,255,957,117,549,2139,639,309,124,108,789,453,92,86,287,525,286,147,288,75,442,34,82,80,
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2000,10737,17,440,28,66,120,57,429,588,924,161,233,804,87,475,2012,596,238,107,109,709,393,105,74,274,458,201,93,264,56,423,43,80,73,
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2001,10285,23,404,23,53,155,57,173,621,983,166,224,641,119,495,1932,630,210,108,92,640,423,108,103,230,488,257,101,188,52,380,37,91,78,
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2002,10088,27,427,32,54,140,43,475,634,939,177,210,616,53,480,1948,534,175,147,105,608,377,69,70,158,472,223,97,186,52,352,47,96,65,
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2003,10087,25,454,25,44,121,42,443,542,975,213,220,600,71,478,1912,557,169,110,148,621,348,84,136,145,419,229,116,227,39,406,42,91,35,
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2004,9329,21,480,29,37,117,53,223,478,948,166,177,591,88,411,1734,552,158,140,114,626,364,74,137,136,381,252,110,217,52,331,36,94,2,
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2005,9921,25,439,34,47,154,49,303,570,878,169,216,589,73,443,2018,680,138,131,151,547,316,80,76,136,436,259,99,348,49,344,38,78,8,
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2006,10452,26,465,26,33,104,43,538,648,819,181,207,788,48,480,1748,988,141,103,169,520,353,61,67,159,457,249,145,358,45,359,42,77,5,
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2007,8867,44,369,35,50,107,43,101,518,848,178,219,764,74,450,1243,556,126,108,279,563,274,56,121,142,397,321,146,193,36,380,49,73,4,
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2008,14006,59,1031,38,54,175,56,262,2604,931,426,296,1001,75,547,1579,658,215,155,241,617,352,73,144,199,820,435,154,265,54,341,49,98,2,
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2009,19803,67,1530,34,58,270,61,514,3680,981,1033,492,1851,145,681,1864,934,259,195,342,598,360,89,141,211,1413,573,173,315,81,692,37,129,,
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2010,25757,75,1525,55,48,449,131,199,6421,1078,1112,446,1567,113,1081,2114,707,494,541,928,731,376,73,145,363,2397,740,194,963,56,461,34,140,,
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2011,27213,105,822,50,51,718,169,196,4487,1100,1085,616,2397,211,1527,2627,853,435,583,2149,685,440,109,164,364,1967,542,230,1097,89,999,53,292,1,
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2012,25967,48,587,37,81,1146,265,389,2776,1086,838,692,2638,161,1558,2900,830,672,288,1833,696,465,114,154,455,1380,526,195,1557,75,1017,42,463,3,
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2013,23063,49,771,49,71,798,227,493,2136,1107,475,701,2283,168,1488,3311,919,630,226,932,762,560,119,164,302,1206,659,247,882,88,761,49,430,,
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2014,20010,46,714,93,78,475,138,460,1758,1089,348,802,1727,210,1040,2918,930,439,173,575,745,565,107,125,270,1154,665,236,910,93,881,48,197,1,
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2015,20762,47,852,181,67,314,229,546,1541,1079,207,969,2421,235,1228,2688,873,469,146,474,810,632,140,145,265,1089,585,364,682,79,1007,58,337,3,
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2016,24559,49,1151,238,93,259,612,552,1795,1280,215,1231,2587,220,1302,2768,1429,658,149,627,798,736,137,193,335,1294,580,431,807,95,1293,64,580,1,
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2017,32079,80,2155,740,74,261,828,592,2168,1319,205,2241,2597,309,1565,3072,1726,654,470,664,995,1082,217,451,502,1629,749,447,1198,124,1808,52,703,,402
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2018,36685,77,2855,181,76,220,683,518,2753,1457,150,3412,2164,302,2773,3134,1970,818,363,840,1099,1173,227,822,529,1107,905,528,1073,144,1458,57,714,,2103
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2019,36661,96,2762,95,79,279,706,620,2666,1283,165,3855,1907,478,2481,3224,2420,1050,213,981,1143,1242,221,718,508,1126,1367,688,863,190,1446,46,678,,1065
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2020,36773,84,2926,70,66,231,624,536,3452,1334,146,5083,1457,364,2162,3061,2375,986,182,919,858,960,226,623,794,860,1563,581,780,153,1142,72,1226,,877
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2021,35700,99,3218,71,87,160,551,566,2724,1072,147,4171,1437,285,2260,3114,2677,1196,220,1070,773,813,228,669,794,633,2069,447,733,160,922,55,1767,,512
|
||||
2022,32223,83,2558,79,89,157,826,487,1998,737,119,4083,1357,378,1821,3213,2261,1144,181,1375,725,1004,187,599,741,494,1687,328,432,146,618,46,1419,,851
|
|
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|
@ -0,0 +1,32 @@
|
|||
Script para crear la Bar Chart Race
|
||||
creaBCRhomic.py
|
||||
|
||||
Datos
|
||||
homicidios03.csv
|
||||
|
||||
Video generado sin audio
|
||||
sal01.mp4
|
||||
|
||||
|
||||
Archivo de audio original
|
||||
tears-164257.mp3
|
||||
|
||||
Como queda corto se extrajeron dos pedazos:
|
||||
inicio.mp3
|
||||
pedazo.mp3
|
||||
|
||||
Al unir los pedazos con ffmpeg sale el archivo completo
|
||||
tears-1642572.mp3
|
||||
|
||||
Video generado con el audio empotrado
|
||||
homicidiosPorEdoMexico.mp4
|
||||
|
||||
--------------------------------------------------
|
||||
Comandos ffmpeg usados
|
||||
|
||||
Cortar pedazos
|
||||
ffmpeg -i tears-164257.mp3 -ss 00:01:07.3 -t 16 -c:a copy pedazo.mp3
|
||||
ffmpeg -i tears-164257.mp3 -t 78 -c:a copy inicio.mp3
|
||||
|
||||
Unir audio y video
|
||||
ffmpeg -i video1.mp4 -i audio1.mp3 -c:v copy -map 0:v -map 1:a -y output.mp4
|
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|
@ -0,0 +1,34 @@
|
|||
#!/usr/bin/python3
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import pandas as pd
|
||||
import matplotlib.pyplot as plt
|
||||
import matplotlib as mpl
|
||||
|
||||
archData = 'homicidios03.csv'
|
||||
|
||||
data = pd.read_csv(archData, encoding = 'ISO-8859-1')
|
||||
data = data.fillna(0)
|
||||
|
||||
#print(data.iloc[0:33, [0, 1, 32, 33, 34, 35]])
|
||||
|
||||
daAnhoPais = data[['Año', 'Total']].copy()
|
||||
#print(daAnhoPais)
|
||||
|
||||
daAnhoPais['dx'] = daAnhoPais['Año'].diff() #.fillna(0)
|
||||
daAnhoPais['dy'] = daAnhoPais['Total'].diff() #.fillna(0)
|
||||
#data['dy/dx'] = (df['dy'] / df['dx']).fillna(0)
|
||||
print(daAnhoPais)
|
||||
|
||||
mpl.style.use('default')
|
||||
plt_1 = plt.figure(figsize=(10, 4))
|
||||
plt.plot(daAnhoPais['Año'], daAnhoPais['Total'], )
|
||||
plt.stem( daAnhoPais['Año'], daAnhoPais['dy'], linefmt = 'C1', markerfmt = 'C1o')
|
||||
plt.legend(['Homicidios dolosos por año', 'Tasa de crecimiento o decrecimiento'], loc = 'upper left')
|
||||
plt.fill_between(data['Año'], 0, daAnhoPais['Total'], alpha = 0.3)
|
||||
plt.xlabel('Año')
|
||||
plt.ylabel('Homicidios dolosos')
|
||||
plt.title('Homicidios dolosos en México')
|
||||
plt.grid()
|
||||
plt.savefig('homDolososMexico.png')
|
||||
plt.show()
|
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|
@ -0,0 +1,34 @@
|
|||
Año,Total,Aguascalientes,Baja California,Baja California Sur,Campeche,Coahuila,Colima,Chiapas,Chihuahua,CdMx,Durango,Guanajuato,Guerrero,Hidalgo,Jalisco,Estado de México,Michoacán,Morelos,Nayarit,Nuevo León,Oaxaca,Puebla,Querétaro,Quintana Roo,San Luis Potosí,Sinaloa,Sonora,Tabasco,Tamaulipas,Tlaxcala,Veracruz,Yucatán,Zacatecas,Extranjero,No especificado
|
||||
1990,14493,43,260,12,82,182,78,272,306,1272,289,361,770,202,832,3449,1170,379,243,72,1211,526,82,57,234,445,166,132,266,47,776,65,145,67,
|
||||
1991,15128,53,283,16,65,235,99,470,454,1100,335,397,1005,150,782,3464,1163,342,232,91,1282,422,77,53,210,542,193,119,338,31,843,63,138,81,
|
||||
1992,16594,35,313,18,87,229,121,437,462,1259,601,352,1578,122,783,3354,1389,376,251,120,1275,540,78,54,258,594,241,136,407,46,753,48,165,112,
|
||||
1993,16040,32,290,21,77,220,70,504,456,1249,344,379,1296,131,781,3315,1345,493,253,121,1335,597,80,80,240,552,210,154,369,45,696,59,144,102,
|
||||
1994,15839,23,352,28,74,214,78,648,573,1180,347,324,1198,158,703,3185,1270,463,268,134,1175,496,101,156,234,596,249,239,355,42,703,47,121,105,
|
||||
1995,15612,34,398,32,98,176,62,708,747,1361,307,284,1260,156,781,2748,1124,353,193,123,1183,599,88,74,209,617,315,234,321,71,617,49,164,126,
|
||||
1996,14505,31,380,25,80,168,45,653,648,1278,257,288,1027,127,750,2762,1124,346,123,111,1128,478,104,63,208,646,331,185,275,61,554,42,119,88,
|
||||
1997,13552,23,338,36,78,152,51,605,648,1216,243,296,1074,140,628,2465,841,302,155,117,976,502,107,87,203,595,276,163,280,68,634,46,120,87,
|
||||
1998,13656,44,581,19,87,143,64,824,628,1216,243,308,1129,148,559,2378,644,315,130,131,964,496,83,79,315,563,304,145,323,64,494,45,122,68,
|
||||
1999,12249,24,637,34,77,145,60,605,547,1043,214,255,957,117,549,2139,639,309,124,108,789,453,92,86,287,525,286,147,288,75,442,34,82,80,
|
||||
2000,10737,17,440,28,66,120,57,429,588,924,161,233,804,87,475,2012,596,238,107,109,709,393,105,74,274,458,201,93,264,56,423,43,80,73,
|
||||
2001,10285,23,404,23,53,155,57,173,621,983,166,224,641,119,495,1932,630,210,108,92,640,423,108,103,230,488,257,101,188,52,380,37,91,78,
|
||||
2002,10088,27,427,32,54,140,43,475,634,939,177,210,616,53,480,1948,534,175,147,105,608,377,69,70,158,472,223,97,186,52,352,47,96,65,
|
||||
2003,10087,25,454,25,44,121,42,443,542,975,213,220,600,71,478,1912,557,169,110,148,621,348,84,136,145,419,229,116,227,39,406,42,91,35,
|
||||
2004,9329,21,480,29,37,117,53,223,478,948,166,177,591,88,411,1734,552,158,140,114,626,364,74,137,136,381,252,110,217,52,331,36,94,2,
|
||||
2005,9921,25,439,34,47,154,49,303,570,878,169,216,589,73,443,2018,680,138,131,151,547,316,80,76,136,436,259,99,348,49,344,38,78,8,
|
||||
2006,10452,26,465,26,33,104,43,538,648,819,181,207,788,48,480,1748,988,141,103,169,520,353,61,67,159,457,249,145,358,45,359,42,77,5,
|
||||
2007,8867,44,369,35,50,107,43,101,518,848,178,219,764,74,450,1243,556,126,108,279,563,274,56,121,142,397,321,146,193,36,380,49,73,4,
|
||||
2008,14006,59,1031,38,54,175,56,262,2604,931,426,296,1001,75,547,1579,658,215,155,241,617,352,73,144,199,820,435,154,265,54,341,49,98,2,
|
||||
2009,19803,67,1530,34,58,270,61,514,3680,981,1033,492,1851,145,681,1864,934,259,195,342,598,360,89,141,211,1413,573,173,315,81,692,37,129,,
|
||||
2010,25757,75,1525,55,48,449,131,199,6421,1078,1112,446,1567,113,1081,2114,707,494,541,928,731,376,73,145,363,2397,740,194,963,56,461,34,140,,
|
||||
2011,27213,105,822,50,51,718,169,196,4487,1100,1085,616,2397,211,1527,2627,853,435,583,2149,685,440,109,164,364,1967,542,230,1097,89,999,53,292,1,
|
||||
2012,25967,48,587,37,81,1146,265,389,2776,1086,838,692,2638,161,1558,2900,830,672,288,1833,696,465,114,154,455,1380,526,195,1557,75,1017,42,463,3,
|
||||
2013,23063,49,771,49,71,798,227,493,2136,1107,475,701,2283,168,1488,3311,919,630,226,932,762,560,119,164,302,1206,659,247,882,88,761,49,430,,
|
||||
2014,20010,46,714,93,78,475,138,460,1758,1089,348,802,1727,210,1040,2918,930,439,173,575,745,565,107,125,270,1154,665,236,910,93,881,48,197,1,
|
||||
2015,20762,47,852,181,67,314,229,546,1541,1079,207,969,2421,235,1228,2688,873,469,146,474,810,632,140,145,265,1089,585,364,682,79,1007,58,337,3,
|
||||
2016,24559,49,1151,238,93,259,612,552,1795,1280,215,1231,2587,220,1302,2768,1429,658,149,627,798,736,137,193,335,1294,580,431,807,95,1293,64,580,1,
|
||||
2017,32079,80,2155,740,74,261,828,592,2168,1319,205,2241,2597,309,1565,3072,1726,654,470,664,995,1082,217,451,502,1629,749,447,1198,124,1808,52,703,,402
|
||||
2018,36685,77,2855,181,76,220,683,518,2753,1457,150,3412,2164,302,2773,3134,1970,818,363,840,1099,1173,227,822,529,1107,905,528,1073,144,1458,57,714,,2103
|
||||
2019,36661,96,2762,95,79,279,706,620,2666,1283,165,3855,1907,478,2481,3224,2420,1050,213,981,1143,1242,221,718,508,1126,1367,688,863,190,1446,46,678,,1065
|
||||
2020,36773,84,2926,70,66,231,624,536,3452,1334,146,5083,1457,364,2162,3061,2375,986,182,919,858,960,226,623,794,860,1563,581,780,153,1142,72,1226,,877
|
||||
2021,35700,99,3218,71,87,160,551,566,2724,1072,147,4171,1437,285,2260,3114,2677,1196,220,1070,773,813,228,669,794,633,2069,447,733,160,922,55,1767,,512
|
||||
2022,32223,83,2558,79,89,157,826,487,1998,737,119,4083,1357,378,1821,3213,2261,1144,181,1375,725,1004,187,599,741,494,1687,328,432,146,618,46,1419,,851
|
|
|
@ -0,0 +1,43 @@
|
|||
Defunciones por homicidios
|
||||
,Mes de registro : Total
|
||||
,
|
||||
|
||||
Consulta de: Defunciones por homicidio Por: Año de registro Según: Ent y mun de ocurrencia
|
||||
, Total, Aguascalientes, Baja California, Baja California Sur, Campeche, Coahuila de Zaragoza, Colima, Chiapas, Chihuahua, Ciudad de México, Durango, Guanajuato, Guerrero, Hidalgo, Jalisco, México, Michoacán de Ocampo, Morelos, Nayarit, Nuevo León, Oaxaca, Puebla, Querétaro, Quintana Roo, San Luis Potosí, Sinaloa, Sonora, Tabasco, Tamaulipas, Tlaxcala, Veracruz de Ignacio de la Llave, Yucatán, Zacatecas, Extranjero, No especificado
|
||||
1990,"14,493", 43, 260, 12, 82, 182, 78, 272, 306,"1,272", 289, 361, 770, 202, 832,"3,449","1,170", 379, 243, 72,"1,211", 526, 82, 57, 234, 445, 166, 132, 266, 47, 776, 65, 145, 67,
|
||||
1991,"15,128", 53, 283, 16, 65, 235, 99, 470, 454,"1,100", 335, 397,"1,005", 150, 782,"3,464","1,163", 342, 232, 91,"1,282", 422, 77, 53, 210, 542, 193, 119, 338, 31, 843, 63, 138, 81,
|
||||
1992,"16,594", 35, 313, 18, 87, 229, 121, 437, 462,"1,259", 601, 352,"1,578", 122, 783,"3,354","1,389", 376, 251, 120,"1,275", 540, 78, 54, 258, 594, 241, 136, 407, 46, 753, 48, 165, 112,
|
||||
1993,"16,040", 32, 290, 21, 77, 220, 70, 504, 456,"1,249", 344, 379,"1,296", 131, 781,"3,315","1,345", 493, 253, 121,"1,335", 597, 80, 80, 240, 552, 210, 154, 369, 45, 696, 59, 144, 102,
|
||||
1994,"15,839", 23, 352, 28, 74, 214, 78, 648, 573,"1,180", 347, 324,"1,198", 158, 703,"3,185","1,270", 463, 268, 134,"1,175", 496, 101, 156, 234, 596, 249, 239, 355, 42, 703, 47, 121, 105,
|
||||
1995,"15,612", 34, 398, 32, 98, 176, 62, 708, 747,"1,361", 307, 284,"1,260", 156, 781,"2,748","1,124", 353, 193, 123,"1,183", 599, 88, 74, 209, 617, 315, 234, 321, 71, 617, 49, 164, 126,
|
||||
1996,"14,505", 31, 380, 25, 80, 168, 45, 653, 648,"1,278", 257, 288,"1,027", 127, 750,"2,762","1,124", 346, 123, 111,"1,128", 478, 104, 63, 208, 646, 331, 185, 275, 61, 554, 42, 119, 88,
|
||||
1997,"13,552", 23, 338, 36, 78, 152, 51, 605, 648,"1,216", 243, 296,"1,074", 140, 628,"2,465", 841, 302, 155, 117, 976, 502, 107, 87, 203, 595, 276, 163, 280, 68, 634, 46, 120, 87,
|
||||
1998,"13,656", 44, 581, 19, 87, 143, 64, 824, 628,"1,216", 243, 308,"1,129", 148, 559,"2,378", 644, 315, 130, 131, 964, 496, 83, 79, 315, 563, 304, 145, 323, 64, 494, 45, 122, 68,
|
||||
1999,"12,249", 24, 637, 34, 77, 145, 60, 605, 547,"1,043", 214, 255, 957, 117, 549,"2,139", 639, 309, 124, 108, 789, 453, 92, 86, 287, 525, 286, 147, 288, 75, 442, 34, 82, 80,
|
||||
2000,"10,737", 17, 440, 28, 66, 120, 57, 429, 588, 924, 161, 233, 804, 87, 475,"2,012", 596, 238, 107, 109, 709, 393, 105, 74, 274, 458, 201, 93, 264, 56, 423, 43, 80, 73,
|
||||
2001,"10,285", 23, 404, 23, 53, 155, 57, 173, 621, 983, 166, 224, 641, 119, 495,"1,932", 630, 210, 108, 92, 640, 423, 108, 103, 230, 488, 257, 101, 188, 52, 380, 37, 91, 78,
|
||||
2002,"10,088", 27, 427, 32, 54, 140, 43, 475, 634, 939, 177, 210, 616, 53, 480,"1,948", 534, 175, 147, 105, 608, 377, 69, 70, 158, 472, 223, 97, 186, 52, 352, 47, 96, 65,
|
||||
2003,"10,087", 25, 454, 25, 44, 121, 42, 443, 542, 975, 213, 220, 600, 71, 478,"1,912", 557, 169, 110, 148, 621, 348, 84, 136, 145, 419, 229, 116, 227, 39, 406, 42, 91, 35,
|
||||
2004,"9,329", 21, 480, 29, 37, 117, 53, 223, 478, 948, 166, 177, 591, 88, 411,"1,734", 552, 158, 140, 114, 626, 364, 74, 137, 136, 381, 252, 110, 217, 52, 331, 36, 94, 2,
|
||||
2005,"9,921", 25, 439, 34, 47, 154, 49, 303, 570, 878, 169, 216, 589, 73, 443,"2,018", 680, 138, 131, 151, 547, 316, 80, 76, 136, 436, 259, 99, 348, 49, 344, 38, 78, 8,
|
||||
2006,"10,452", 26, 465, 26, 33, 104, 43, 538, 648, 819, 181, 207, 788, 48, 480,"1,748", 988, 141, 103, 169, 520, 353, 61, 67, 159, 457, 249, 145, 358, 45, 359, 42, 77, 5,
|
||||
2007,"8,867", 44, 369, 35, 50, 107, 43, 101, 518, 848, 178, 219, 764, 74, 450,"1,243", 556, 126, 108, 279, 563, 274, 56, 121, 142, 397, 321, 146, 193, 36, 380, 49, 73, 4,
|
||||
2008,"14,006", 59,"1,031", 38, 54, 175, 56, 262,"2,604", 931, 426, 296,"1,001", 75, 547,"1,579", 658, 215, 155, 241, 617, 352, 73, 144, 199, 820, 435, 154, 265, 54, 341, 49, 98, 2,
|
||||
2009,"19,803", 67,"1,530", 34, 58, 270, 61, 514,"3,680", 981,"1,033", 492,"1,851", 145, 681,"1,864", 934, 259, 195, 342, 598, 360, 89, 141, 211,"1,413", 573, 173, 315, 81, 692, 37, 129, ,
|
||||
2010,"25,757", 75,"1,525", 55, 48, 449, 131, 199,"6,421","1,078","1,112", 446,"1,567", 113,"1,081","2,114", 707, 494, 541, 928, 731, 376, 73, 145, 363,"2,397", 740, 194, 963, 56, 461, 34, 140, ,
|
||||
2011,"27,213", 105, 822, 50, 51, 718, 169, 196,"4,487","1,100","1,085", 616,"2,397", 211,"1,527","2,627", 853, 435, 583,"2,149", 685, 440, 109, 164, 364,"1,967", 542, 230,"1,097", 89, 999, 53, 292, 1,
|
||||
2012,"25,967", 48, 587, 37, 81,"1,146", 265, 389,"2,776","1,086", 838, 692,"2,638", 161,"1,558","2,900", 830, 672, 288,"1,833", 696, 465, 114, 154, 455,"1,380", 526, 195,"1,557", 75,"1,017", 42, 463, 3,
|
||||
2013,"23,063", 49, 771, 49, 71, 798, 227, 493,"2,136","1,107", 475, 701,"2,283", 168,"1,488","3,311", 919, 630, 226, 932, 762, 560, 119, 164, 302,"1,206", 659, 247, 882, 88, 761, 49, 430, ,
|
||||
2014,"20,010", 46, 714, 93, 78, 475, 138, 460,"1,758","1,089", 348, 802,"1,727", 210,"1,040","2,918", 930, 439, 173, 575, 745, 565, 107, 125, 270,"1,154", 665, 236, 910, 93, 881, 48, 197, 1,
|
||||
2015,"20,762", 47, 852, 181, 67, 314, 229, 546,"1,541","1,079", 207, 969,"2,421", 235,"1,228","2,688", 873, 469, 146, 474, 810, 632, 140, 145, 265,"1,089", 585, 364, 682, 79,"1,007", 58, 337, 3,
|
||||
2016,"24,559", 49,"1,151", 238, 93, 259, 612, 552,"1,795","1,280", 215,"1,231","2,587", 220,"1,302","2,768","1,429", 658, 149, 627, 798, 736, 137, 193, 335,"1,294", 580, 431, 807, 95,"1,293", 64, 580, 1,
|
||||
2017,"32,079", 80,"2,155", 740, 74, 261, 828, 592,"2,168","1,319", 205,"2,241","2,597", 309,"1,565","3,072","1,726", 654, 470, 664, 995,"1,082", 217, 451, 502,"1,629", 749, 447,"1,198", 124,"1,808", 52, 703, , 402
|
||||
2018,"36,685", 77,"2,855", 181, 76, 220, 683, 518,"2,753","1,457", 150,"3,412","2,164", 302,"2,773","3,134","1,970", 818, 363, 840,"1,099","1,173", 227, 822, 529,"1,107", 905, 528,"1,073", 144,"1,458", 57, 714, ,"2,103"
|
||||
2019,"36,661", 96,"2,762", 95, 79, 279, 706, 620,"2,666","1,283", 165,"3,855","1,907", 478,"2,481","3,224","2,420","1,050", 213, 981,"1,143","1,242", 221, 718, 508,"1,126","1,367", 688, 863, 190,"1,446", 46, 678, ,"1,065"
|
||||
2020,"36,773", 84,"2,926", 70, 66, 231, 624, 536,"3,452","1,334", 146,"5,083","1,457", 364,"2,162","3,061","2,375", 986, 182, 919, 858, 960, 226, 623, 794, 860,"1,563", 581, 780, 153,"1,142", 72,"1,226", , 877
|
||||
2021,"35,700", 99,"3,218", 71, 87, 160, 551, 566,"2,724","1,072", 147,"4,171","1,437", 285,"2,260","3,114","2,677","1,196", 220,"1,070", 773, 813, 228, 669, 794, 633,"2,069", 447, 733, 160, 922, 55,"1,767", , 512
|
||||
2022,"32,223", 83,"2,558", 79, 89, 157, 826, 487,"1,998", 737, 119,"4,083","1,357", 378,"1,821","3,213","2,261","1,144", 181,"1,375", 725,"1,004", 187, 599, 741, 494,"1,687", 328, 432, 146, 618, 46,"1,419", , 851
|
||||
|
||||
|
||||
FUENTE: INEGI. Estadísticas de mortalidad.
|
||||
|
Can't render this file because it has a wrong number of fields in line 2.
|
|
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|
|||
Año,Total,Aguascalientes,Baja California,Baja California Sur,Campeche,Coahuila,Colima,Chiapas,Chihuahua,CdMx,Durango,Guanajuato,Guerrero,Hidalgo,Jalisco,Estado de México,Michoacán,Morelos,Nayarit,Nuevo León,Oaxaca,Puebla,Querétaro,Quintana Roo,San Luis Potosí,Sinaloa,Sonora,Tabasco,Tamaulipas,Tlaxcala,Veracruz,Yucatán,Zacatecas,Extranjero,No especificado
|
||||
1990,14493,43,260,12,82,182,78,272,306,1272,289,361,770,202,832,3449,1170,379,243,72,1211,526,82,57,234,445,166,132,266,47,776,65,145,67,
|
||||
1991,15128,53,283,16,65,235,99,470,454,1100,335,397,1005,150,782,3464,1163,342,232,91,1282,422,77,53,210,542,193,119,338,31,843,63,138,81,
|
||||
1992,16594,35,313,18,87,229,121,437,462,1259,601,352,1578,122,783,3354,1389,376,251,120,1275,540,78,54,258,594,241,136,407,46,753,48,165,112,
|
||||
1993,16040,32,290,21,77,220,70,504,456,1249,344,379,1296,131,781,3315,1345,493,253,121,1335,597,80,80,240,552,210,154,369,45,696,59,144,102,
|
||||
1994,15839,23,352,28,74,214,78,648,573,1180,347,324,1198,158,703,3185,1270,463,268,134,1175,496,101,156,234,596,249,239,355,42,703,47,121,105,
|
||||
1995,15612,34,398,32,98,176,62,708,747,1361,307,284,1260,156,781,2748,1124,353,193,123,1183,599,88,74,209,617,315,234,321,71,617,49,164,126,
|
||||
1996,14505,31,380,25,80,168,45,653,648,1278,257,288,1027,127,750,2762,1124,346,123,111,1128,478,104,63,208,646,331,185,275,61,554,42,119,88,
|
||||
1997,13552,23,338,36,78,152,51,605,648,1216,243,296,1074,140,628,2465,841,302,155,117,976,502,107,87,203,595,276,163,280,68,634,46,120,87,
|
||||
1998,13656,44,581,19,87,143,64,824,628,1216,243,308,1129,148,559,2378,644,315,130,131,964,496,83,79,315,563,304,145,323,64,494,45,122,68,
|
||||
1999,12249,24,637,34,77,145,60,605,547,1043,214,255,957,117,549,2139,639,309,124,108,789,453,92,86,287,525,286,147,288,75,442,34,82,80,
|
||||
2000,10737,17,440,28,66,120,57,429,588,924,161,233,804,87,475,2012,596,238,107,109,709,393,105,74,274,458,201,93,264,56,423,43,80,73,
|
||||
2001,10285,23,404,23,53,155,57,173,621,983,166,224,641,119,495,1932,630,210,108,92,640,423,108,103,230,488,257,101,188,52,380,37,91,78,
|
||||
2002,10088,27,427,32,54,140,43,475,634,939,177,210,616,53,480,1948,534,175,147,105,608,377,69,70,158,472,223,97,186,52,352,47,96,65,
|
||||
2003,10087,25,454,25,44,121,42,443,542,975,213,220,600,71,478,1912,557,169,110,148,621,348,84,136,145,419,229,116,227,39,406,42,91,35,
|
||||
2004,9329,21,480,29,37,117,53,223,478,948,166,177,591,88,411,1734,552,158,140,114,626,364,74,137,136,381,252,110,217,52,331,36,94,2,
|
||||
2005,9921,25,439,34,47,154,49,303,570,878,169,216,589,73,443,2018,680,138,131,151,547,316,80,76,136,436,259,99,348,49,344,38,78,8,
|
||||
2006,10452,26,465,26,33,104,43,538,648,819,181,207,788,48,480,1748,988,141,103,169,520,353,61,67,159,457,249,145,358,45,359,42,77,5,
|
||||
2007,8867,44,369,35,50,107,43,101,518,848,178,219,764,74,450,1243,556,126,108,279,563,274,56,121,142,397,321,146,193,36,380,49,73,4,
|
||||
2008,14006,59,1031,38,54,175,56,262,2604,931,426,296,1001,75,547,1579,658,215,155,241,617,352,73,144,199,820,435,154,265,54,341,49,98,2,
|
||||
2009,19803,67,1530,34,58,270,61,514,3680,981,1033,492,1851,145,681,1864,934,259,195,342,598,360,89,141,211,1413,573,173,315,81,692,37,129,,
|
||||
2010,25757,75,1525,55,48,449,131,199,6421,1078,1112,446,1567,113,1081,2114,707,494,541,928,731,376,73,145,363,2397,740,194,963,56,461,34,140,,
|
||||
2011,27213,105,822,50,51,718,169,196,4487,1100,1085,616,2397,211,1527,2627,853,435,583,2149,685,440,109,164,364,1967,542,230,1097,89,999,53,292,1,
|
||||
2012,25967,48,587,37,81,1146,265,389,2776,1086,838,692,2638,161,1558,2900,830,672,288,1833,696,465,114,154,455,1380,526,195,1557,75,1017,42,463,3,
|
||||
2013,23063,49,771,49,71,798,227,493,2136,1107,475,701,2283,168,1488,3311,919,630,226,932,762,560,119,164,302,1206,659,247,882,88,761,49,430,,
|
||||
2014,20010,46,714,93,78,475,138,460,1758,1089,348,802,1727,210,1040,2918,930,439,173,575,745,565,107,125,270,1154,665,236,910,93,881,48,197,1,
|
||||
2015,20762,47,852,181,67,314,229,546,1541,1079,207,969,2421,235,1228,2688,873,469,146,474,810,632,140,145,265,1089,585,364,682,79,1007,58,337,3,
|
||||
2016,24559,49,1151,238,93,259,612,552,1795,1280,215,1231,2587,220,1302,2768,1429,658,149,627,798,736,137,193,335,1294,580,431,807,95,1293,64,580,1,
|
||||
2017,32079,80,2155,740,74,261,828,592,2168,1319,205,2241,2597,309,1565,3072,1726,654,470,664,995,1082,217,451,502,1629,749,447,1198,124,1808,52,703,,402
|
||||
2018,36685,77,2855,181,76,220,683,518,2753,1457,150,3412,2164,302,2773,3134,1970,818,363,840,1099,1173,227,822,529,1107,905,528,1073,144,1458,57,714,,2103
|
||||
2019,36661,96,2762,95,79,279,706,620,2666,1283,165,3855,1907,478,2481,3224,2420,1050,213,981,1143,1242,221,718,508,1126,1367,688,863,190,1446,46,678,,1065
|
||||
2020,36773,84,2926,70,66,231,624,536,3452,1334,146,5083,1457,364,2162,3061,2375,986,182,919,858,960,226,623,794,860,1563,581,780,153,1142,72,1226,,877
|
||||
2021,35700,99,3218,71,87,160,551,566,2724,1072,147,4171,1437,285,2260,3114,2677,1196,220,1070,773,813,228,669,794,633,2069,447,733,160,922,55,1767,,512
|
||||
2022,32223,83,2558,79,89,157,826,487,1998,737,119,4083,1357,378,1821,3213,2261,1144,181,1375,725,1004,187,599,741,494,1687,328,432,146,618,46,1419,,851
|
|
|
@ -0,0 +1,22 @@
|
|||
#!/usr/bin/python3
|
||||
# -*- coding: utf-8 -*-
|
||||
|
||||
import pandas as pd
|
||||
|
||||
archData = 'homicidios03.csv'
|
||||
#archVideo = 'prueba02.mp4'
|
||||
|
||||
#data = pd.read_csv(archData, delim_whitespace = True,
|
||||
# index_col = 0, na_values = ['_', 'D'],
|
||||
# infer_datetime_format = 1,
|
||||
#)
|
||||
|
||||
data = pd.read_csv(archData, encoding = 'ISO-8859-1')
|
||||
data = data.fillna(0)
|
||||
|
||||
#print(data.iloc[0:33, [0, 1, 32, 33, 34, 35]])
|
||||
print(data)
|
||||
|
||||
|
||||
daAnhoPais = data[['Año', 'Total']].copy()
|
||||
print(daAnhoPais)
|
|
@ -0,0 +1,32 @@
|
|||
|
||||
Nota periodística
|
||||
https://www.animalpolitico.com/seguridad/victimas-de-desaparicion-mexico-lista-segob
|
||||
|
||||
RNPDNO (Registro Nacional de Personas Desaparecidas y No Localizadas)
|
||||
https://versionpublicarnpdno.segob.gob.mx/Dashboard/ContextoGeneral
|
||||
|
||||
Clasificación
|
||||
Personas desaparecidas
|
||||
Desaparecidas y no localizadas
|
||||
Desaparecidas
|
||||
No localizadas
|
||||
Desaparecidas localizadas
|
||||
Localizadas sin vida
|
||||
Localizadas con vida
|
||||
|
||||
|
||||
Homicidios dolosos
|
||||
https://www.inegi.org.mx/sistemas/olap/proyectos/bd/continuas/mortalidad/defuncioneshom.asp?s=est
|
||||
|
||||
--------------------------------------------------
|
||||
Comando para empotrar pista de audio en un video
|
||||
|
||||
ffmpeg -i video1.mp4 -i audio1.mp3 -c:v copy -map 0:v -map 1:a -y output.mp4
|
||||
|
||||
Comandos de ffmpeg para cortar pedazos de audio
|
||||
ffmpeg -i tears-164257.mp3 -ss 00:01:07.3 -t 16 -c:a copy pedazo.mp3
|
||||
ffmpeg -i tears-164257.mp3 -t 78 -c:a copy inicio.mp3
|
||||
|
||||
Biblioteca de Python para hacer Bar Chart Race
|
||||
https://www.dexplo.org/bar_chart_race/tutorial/
|
||||
|
Binary file not shown.
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
|
@ -0,0 +1,39 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",276,156,79
|
||||
"1969",1,0,0
|
||||
"1972",2,0,0
|
||||
"1973",5,0,0
|
||||
"1974",20,3,1
|
||||
"1975",10,0,0
|
||||
"1976",16,1,3
|
||||
"1977",6,2,1
|
||||
"1978",2,0,0
|
||||
"1981",2,0,0
|
||||
"1982",1,0,0
|
||||
"1988",1,0,0
|
||||
"1992",1,0,0
|
||||
"1994",1,0,0
|
||||
"1996",0,2,0
|
||||
"1999",1,0,0
|
||||
"2000",1,0,0
|
||||
"2001",1,0,0
|
||||
"2002",2,0,0
|
||||
"2003",1,0,0
|
||||
"2006",2,0,0
|
||||
"2007",2,0,0
|
||||
"2008",6,0,3
|
||||
"2009",7,0,2
|
||||
"2010",20,8,0
|
||||
"2011",28,5,2
|
||||
"2012",13,4,0
|
||||
"2013",17,7,6
|
||||
"2014",49,5,1
|
||||
"2015",18,8,0
|
||||
"2016",17,5,0
|
||||
"2017",11,8,3
|
||||
"2018",3,1,2
|
||||
"2019",7,2,0
|
||||
"2020",8,6,0
|
||||
"2021",8,1,0
|
||||
"2022",21,15,0
|
||||
"2023",5,1,0
|
|
|
@ -0,0 +1,60 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",7637,3206,199
|
||||
"1964",2,0,0
|
||||
"1967",4,0,0
|
||||
"1968",2,1,0
|
||||
"1969",4,0,0
|
||||
"1970",2,0,0
|
||||
"1971",17,1,0
|
||||
"1972",32,7,0
|
||||
"1973",39,4,0
|
||||
"1974",327,20,4
|
||||
"1975",62,7,2
|
||||
"1976",99,13,3
|
||||
"1977",120,11,2
|
||||
"1978",55,12,2
|
||||
"1979",13,3,0
|
||||
"1980",15,2,0
|
||||
"1981",28,5,0
|
||||
"1982",16,2,0
|
||||
"1983",9,1,0
|
||||
"1984",8,0,0
|
||||
"1985",10,1,0
|
||||
"1986",2,1,0
|
||||
"1987",15,0,0
|
||||
"1988",7,2,0
|
||||
"1989",11,3,0
|
||||
"1990",7,0,0
|
||||
"1991",10,4,0
|
||||
"1992",17,2,0
|
||||
"1993",14,4,1
|
||||
"1994",17,6,0
|
||||
"1995",20,10,0
|
||||
"1996",20,9,0
|
||||
"1997",22,3,0
|
||||
"1998",27,8,0
|
||||
"1999",25,5,0
|
||||
"2000",46,10,0
|
||||
"2001",62,16,0
|
||||
"2002",82,28,0
|
||||
"2003",83,21,0
|
||||
"2004",81,28,0
|
||||
"2005",121,47,0
|
||||
"2006",174,69,0
|
||||
"2007",577,185,4
|
||||
"2008",793,186,3
|
||||
"2009",1270,334,3
|
||||
"2010",3277,616,1
|
||||
"2011",3817,1054,5
|
||||
"2012",3059,836,4
|
||||
"2013",3486,927,11
|
||||
"2014",3476,1008,11
|
||||
"2015",2954,952,10
|
||||
"2016",4187,1547,10
|
||||
"2017",5655,1750,41
|
||||
"2018",5623,1466,85
|
||||
"2019",7043,1666,219
|
||||
"2020",5582,1561,15
|
||||
"2021",4847,1640,2
|
||||
"2022",4805,1833,14
|
||||
"2023",4368,1977,6
|
|
|
@ -0,0 +1,19 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",10,7,0
|
||||
"2006",0,1,0
|
||||
"2007",17,5,0
|
||||
"2008",6,0,0
|
||||
"2009",5,3,0
|
||||
"2010",7,4,1
|
||||
"2011",5,9,0
|
||||
"2012",7,3,0
|
||||
"2013",5,1,0
|
||||
"2014",9,3,0
|
||||
"2015",18,15,0
|
||||
"2016",9,3,0
|
||||
"2017",18,6,0
|
||||
"2018",12,12,0
|
||||
"2020",4,1,0
|
||||
"2021",13,4,0
|
||||
"2022",6,2,0
|
||||
"2023",8,5,0
|
|
|
@ -0,0 +1,32 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",507,169,5
|
||||
"1980",1,0,0
|
||||
"1981",3,0,0
|
||||
"1987",1,0,0
|
||||
"1989",1,2,0
|
||||
"1995",1,0,0
|
||||
"1997",0,1,0
|
||||
"1998",1,0,0
|
||||
"1999",1,0,0
|
||||
"2002",1,1,0
|
||||
"2003",2,0,0
|
||||
"2004",0,1,0
|
||||
"2005",2,2,0
|
||||
"2006",8,2,0
|
||||
"2007",27,4,0
|
||||
"2008",28,4,0
|
||||
"2009",12,4,0
|
||||
"2010",12,2,0
|
||||
"2011",14,5,0
|
||||
"2012",61,32,0
|
||||
"2013",74,62,0
|
||||
"2014",117,63,0
|
||||
"2015",11,0,0
|
||||
"2016",104,83,0
|
||||
"2017",125,104,0
|
||||
"2018",22,2,0
|
||||
"2019",41,9,0
|
||||
"2020",95,25,0
|
||||
"2021",99,25,0
|
||||
"2022",297,68,0
|
||||
"2023",149,22,0
|
|
|
@ -0,0 +1,25 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",184,37,3
|
||||
"1967",1,0,0
|
||||
"1992",1,0,0
|
||||
"1995",1,0,0
|
||||
"1998",1,0,0
|
||||
"2005",1,0,0
|
||||
"2006",1,0,0
|
||||
"2007",2,0,0
|
||||
"2008",3,0,0
|
||||
"2009",1,0,0
|
||||
"2010",2,1,0
|
||||
"2011",1,0,0
|
||||
"2012",3,0,0
|
||||
"2013",10,0,0
|
||||
"2014",3,0,0
|
||||
"2015",14,4,0
|
||||
"2016",26,9,0
|
||||
"2017",44,8,0
|
||||
"2018",47,16,0
|
||||
"2019",63,4,0
|
||||
"2020",56,9,0
|
||||
"2021",68,11,0
|
||||
"2022",28,9,0
|
||||
"2023",56,36,0
|
|
|
@ -0,0 +1,15 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",2,1,0
|
||||
"1980",0,1,0
|
||||
"2007",0,1,0
|
||||
"2008",4,0,0
|
||||
"2013",2,0,0
|
||||
"2014",4,2,0
|
||||
"2015",4,3,0
|
||||
"2016",1,2,0
|
||||
"2017",0,1,0
|
||||
"2019",3,1,0
|
||||
"2020",1,0,0
|
||||
"2021",5,1,0
|
||||
"2022",13,6,0
|
||||
"2023",7,5,0
|
|
|
@ -0,0 +1,53 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",261,134,15
|
||||
"1964",1,0,0
|
||||
"1967",1,0,0
|
||||
"1969",1,0,0
|
||||
"1970",1,0,0
|
||||
"1972",1,1,0
|
||||
"1973",2,0,0
|
||||
"1974",4,2,0
|
||||
"1975",11,4,1
|
||||
"1976",11,2,0
|
||||
"1977",6,0,0
|
||||
"1978",10,3,0
|
||||
"1979",4,1,0
|
||||
"1980",2,1,0
|
||||
"1981",5,2,0
|
||||
"1982",5,2,0
|
||||
"1983",5,0,0
|
||||
"1984",2,0,0
|
||||
"1985",1,0,0
|
||||
"1986",1,1,0
|
||||
"1987",4,0,0
|
||||
"1988",0,1,0
|
||||
"1992",1,1,0
|
||||
"1993",1,0,1
|
||||
"1994",3,0,0
|
||||
"1995",3,1,0
|
||||
"1996",1,1,0
|
||||
"1998",3,1,0
|
||||
"2000",2,0,0
|
||||
"2001",6,0,0
|
||||
"2002",5,1,0
|
||||
"2003",2,1,0
|
||||
"2004",5,1,0
|
||||
"2005",4,0,0
|
||||
"2006",1,2,0
|
||||
"2007",2,2,4
|
||||
"2008",7,4,0
|
||||
"2009",47,51,0
|
||||
"2010",26,19,0
|
||||
"2011",138,118,0
|
||||
"2012",66,30,3
|
||||
"2013",64,26,1
|
||||
"2014",44,24,6
|
||||
"2015",42,39,3
|
||||
"2016",24,14,8
|
||||
"2017",29,22,7
|
||||
"2018",39,21,27
|
||||
"2019",500,193,141
|
||||
"2020",256,156,0
|
||||
"2021",396,235,1
|
||||
"2022",760,529,4
|
||||
"2023",639,457,1
|
|
|
@ -0,0 +1,41 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",73,15,0
|
||||
"1976",2,0,0
|
||||
"1977",7,1,0
|
||||
"1978",3,2,0
|
||||
"1982",1,0,0
|
||||
"1986",1,0,0
|
||||
"1989",0,1,0
|
||||
"1990",1,0,0
|
||||
"1991",1,0,0
|
||||
"1993",1,0,0
|
||||
"1994",1,0,0
|
||||
"1995",1,4,0
|
||||
"1996",4,3,0
|
||||
"1997",5,1,0
|
||||
"1998",3,3,0
|
||||
"1999",3,0,0
|
||||
"2000",2,3,0
|
||||
"2001",6,1,0
|
||||
"2002",12,2,0
|
||||
"2003",5,2,0
|
||||
"2004",5,0,0
|
||||
"2005",10,1,0
|
||||
"2006",18,1,0
|
||||
"2007",21,4,0
|
||||
"2008",35,4,0
|
||||
"2009",72,16,0
|
||||
"2010",89,24,0
|
||||
"2011",93,15,0
|
||||
"2012",88,12,0
|
||||
"2013",126,10,0
|
||||
"2014",135,22,0
|
||||
"2015",124,15,0
|
||||
"2016",141,35,0
|
||||
"2017",247,30,0
|
||||
"2018",302,39,0
|
||||
"2019",249,79,0
|
||||
"2020",17,5,0
|
||||
"2021",33,5,0
|
||||
"2022",55,9,0
|
||||
"2023",38,26,0
|
|
|
@ -0,0 +1,31 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",27,7,0
|
||||
"1974",10,1,0
|
||||
"1992",1,0,0
|
||||
"1994",3,0,0
|
||||
"1995",1,0,0
|
||||
"1996",0,1,0
|
||||
"2000",1,1,0
|
||||
"2001",1,0,0
|
||||
"2002",0,2,0
|
||||
"2003",2,0,0
|
||||
"2004",0,1,0
|
||||
"2005",1,0,0
|
||||
"2006",1,1,0
|
||||
"2007",1,0,0
|
||||
"2008",2,0,0
|
||||
"2009",1,3,0
|
||||
"2010",2,3,0
|
||||
"2011",1,2,0
|
||||
"2012",7,2,0
|
||||
"2013",1,4,0
|
||||
"2014",3,0,0
|
||||
"2015",10,4,0
|
||||
"2016",14,7,0
|
||||
"2017",18,6,0
|
||||
"2018",30,15,0
|
||||
"2019",19,10,0
|
||||
"2020",28,13,0
|
||||
"2021",49,14,0
|
||||
"2022",63,15,0
|
||||
"2023",79,51,0
|
|
|
@ -0,0 +1,33 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",114,40,2
|
||||
"1993",1,0,0
|
||||
"1994",1,1,0
|
||||
"1995",0,1,0
|
||||
"1996",1,0,0
|
||||
"1997",3,0,0
|
||||
"1998",1,0,0
|
||||
"1999",0,1,0
|
||||
"2000",2,0,0
|
||||
"2001",4,3,0
|
||||
"2002",10,5,0
|
||||
"2003",13,1,0
|
||||
"2004",10,4,0
|
||||
"2005",7,8,0
|
||||
"2006",10,4,0
|
||||
"2007",49,27,0
|
||||
"2008",133,24,0
|
||||
"2009",261,43,0
|
||||
"2010",387,77,0
|
||||
"2011",351,109,0
|
||||
"2012",229,65,0
|
||||
"2013",157,83,0
|
||||
"2014",109,47,0
|
||||
"2015",62,12,0
|
||||
"2016",57,12,0
|
||||
"2017",38,13,0
|
||||
"2018",36,5,0
|
||||
"2019",49,7,0
|
||||
"2020",46,4,0
|
||||
"2021",47,13,0
|
||||
"2022",149,32,8
|
||||
"2023",49,24,0
|
|
|
@ -0,0 +1,21 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",324,116,2
|
||||
"1997",1,0,0
|
||||
"2003",2,1,0
|
||||
"2007",0,1,0
|
||||
"2008",3,1,0
|
||||
"2009",1,0,0
|
||||
"2010",16,3,0
|
||||
"2011",22,1,0
|
||||
"2012",33,3,0
|
||||
"2013",37,6,0
|
||||
"2014",26,25,0
|
||||
"2015",12,3,0
|
||||
"2016",43,23,0
|
||||
"2017",144,72,0
|
||||
"2018",107,48,0
|
||||
"2019",28,4,0
|
||||
"2020",47,32,0
|
||||
"2021",33,5,0
|
||||
"2022",37,4,0
|
||||
"2023",12,3,0
|
|
|
@ -0,0 +1,31 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",28,5,2
|
||||
"1987",1,0,0
|
||||
"1990",1,0,0
|
||||
"1991",2,0,0
|
||||
"1993",1,0,0
|
||||
"1997",1,0,0
|
||||
"2000",1,0,0
|
||||
"2001",1,0,0
|
||||
"2002",1,0,0
|
||||
"2003",4,0,0
|
||||
"2004",3,1,0
|
||||
"2005",1,1,0
|
||||
"2006",2,2,0
|
||||
"2007",6,3,0
|
||||
"2008",15,4,0
|
||||
"2009",30,8,0
|
||||
"2010",151,10,0
|
||||
"2011",57,12,0
|
||||
"2012",51,13,0
|
||||
"2013",19,2,0
|
||||
"2014",12,7,0
|
||||
"2015",10,4,0
|
||||
"2016",15,6,0
|
||||
"2017",36,13,0
|
||||
"2018",28,4,0
|
||||
"2019",30,9,0
|
||||
"2020",21,23,0
|
||||
"2021",12,13,0
|
||||
"2022",27,9,0
|
||||
"2023",50,9,0
|
|
|
@ -0,0 +1,48 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",1674,1446,8
|
||||
"1968",0,1,0
|
||||
"1971",0,1,0
|
||||
"1974",2,0,0
|
||||
"1976",8,1,0
|
||||
"1977",1,0,0
|
||||
"1978",1,3,0
|
||||
"1979",0,1,0
|
||||
"1981",4,0,0
|
||||
"1982",1,0,0
|
||||
"1983",3,0,0
|
||||
"1984",1,0,0
|
||||
"1985",4,0,0
|
||||
"1989",2,0,0
|
||||
"1990",2,0,0
|
||||
"1992",1,0,0
|
||||
"1993",1,0,0
|
||||
"1994",0,1,0
|
||||
"1995",1,1,0
|
||||
"1996",1,0,0
|
||||
"1997",4,0,0
|
||||
"1998",0,1,0
|
||||
"1999",3,1,0
|
||||
"2000",7,1,0
|
||||
"2001",5,0,0
|
||||
"2002",5,2,0
|
||||
"2003",3,1,0
|
||||
"2004",4,1,0
|
||||
"2005",5,4,0
|
||||
"2006",21,6,0
|
||||
"2007",75,29,0
|
||||
"2008",61,20,0
|
||||
"2009",102,39,0
|
||||
"2010",93,34,0
|
||||
"2011",136,58,0
|
||||
"2012",145,84,0
|
||||
"2013",194,118,0
|
||||
"2014",159,123,0
|
||||
"2015",176,148,0
|
||||
"2016",281,319,0
|
||||
"2017",405,325,1
|
||||
"2018",115,101,0
|
||||
"2019",45,31,0
|
||||
"2020",256,168,0
|
||||
"2021",560,386,0
|
||||
"2022",534,312,1
|
||||
"2023",714,508,0
|
|
|
@ -0,0 +1,46 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",118,16,10
|
||||
"1967",1,0,0
|
||||
"1968",1,0,0
|
||||
"1969",2,0,0
|
||||
"1970",1,0,0
|
||||
"1971",15,0,0
|
||||
"1972",25,6,0
|
||||
"1973",21,1,0
|
||||
"1974",264,10,3
|
||||
"1975",36,1,1
|
||||
"1976",48,7,0
|
||||
"1977",40,5,1
|
||||
"1978",22,2,1
|
||||
"1979",3,1,0
|
||||
"1981",1,0,0
|
||||
"1985",1,0,0
|
||||
"1989",1,0,0
|
||||
"1992",2,0,0
|
||||
"1994",1,2,0
|
||||
"1995",1,0,0
|
||||
"1997",1,0,0
|
||||
"1999",1,0,0
|
||||
"2000",9,0,0
|
||||
"2001",1,0,0
|
||||
"2002",1,0,0
|
||||
"2004",3,0,0
|
||||
"2005",7,0,0
|
||||
"2006",5,1,0
|
||||
"2007",35,3,0
|
||||
"2008",34,3,0
|
||||
"2009",21,6,0
|
||||
"2010",76,5,0
|
||||
"2011",89,26,0
|
||||
"2012",103,25,0
|
||||
"2013",247,46,0
|
||||
"2014",305,53,0
|
||||
"2015",188,49,0
|
||||
"2016",244,60,0
|
||||
"2017",288,70,0
|
||||
"2018",209,71,0
|
||||
"2019",200,51,0
|
||||
"2020",159,41,0
|
||||
"2021",185,46,0
|
||||
"2022",181,44,0
|
||||
"2023",179,44,1
|
|
|
@ -0,0 +1,31 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",131,48,1
|
||||
"1984",1,0,0
|
||||
"1991",0,1,0
|
||||
"1995",1,0,0
|
||||
"1996",1,0,0
|
||||
"1998",2,0,0
|
||||
"1999",1,0,0
|
||||
"2001",5,1,0
|
||||
"2002",1,0,0
|
||||
"2003",1,0,0
|
||||
"2004",1,0,0
|
||||
"2005",3,0,0
|
||||
"2006",9,5,0
|
||||
"2007",10,5,0
|
||||
"2008",12,4,0
|
||||
"2009",17,3,1
|
||||
"2010",20,5,0
|
||||
"2011",44,11,1
|
||||
"2012",21,6,0
|
||||
"2013",29,1,1
|
||||
"2014",44,5,1
|
||||
"2015",70,18,3
|
||||
"2016",108,21,1
|
||||
"2017",181,26,26
|
||||
"2018",271,51,54
|
||||
"2019",338,55,71
|
||||
"2020",328,85,13
|
||||
"2021",41,16,0
|
||||
"2022",211,53,0
|
||||
"2023",88,18,0
|
|
|
@ -0,0 +1,30 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",86,23,2
|
||||
"1971",1,0,0
|
||||
"1972",1,0,0
|
||||
"1973",1,0,0
|
||||
"1974",13,3,0
|
||||
"1981",2,0,0
|
||||
"1991",0,2,0
|
||||
"1992",1,0,0
|
||||
"1997",1,0,0
|
||||
"2004",0,1,0
|
||||
"2005",1,0,0
|
||||
"2006",0,2,0
|
||||
"2007",7,1,0
|
||||
"2008",18,2,0
|
||||
"2009",16,6,0
|
||||
"2010",13,6,0
|
||||
"2011",17,17,0
|
||||
"2012",5,14,0
|
||||
"2013",4,5,0
|
||||
"2014",3,2,0
|
||||
"2015",8,12,0
|
||||
"2016",14,6,0
|
||||
"2017",19,13,0
|
||||
"2018",18,9,0
|
||||
"2019",11,3,0
|
||||
"2020",37,25,0
|
||||
"2021",8,2,0
|
||||
"2022",27,14,0
|
||||
"2023",33,15,0
|
|
|
@ -0,0 +1,49 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",904,276,18
|
||||
"1967",1,0,0
|
||||
"1972",1,0,0
|
||||
"1973",8,2,0
|
||||
"1976",1,1,0
|
||||
"1977",24,3,0
|
||||
"1979",2,0,0
|
||||
"1980",7,0,0
|
||||
"1981",1,0,0
|
||||
"1982",2,0,0
|
||||
"1983",0,1,0
|
||||
"1985",1,0,0
|
||||
"1987",2,0,0
|
||||
"1988",2,1,0
|
||||
"1989",1,0,0
|
||||
"1991",2,0,0
|
||||
"1992",5,1,0
|
||||
"1993",2,1,0
|
||||
"1994",2,1,0
|
||||
"1995",3,0,0
|
||||
"1996",1,0,0
|
||||
"1997",3,0,0
|
||||
"1998",5,1,0
|
||||
"1999",3,2,0
|
||||
"2000",5,0,0
|
||||
"2001",11,3,0
|
||||
"2002",19,9,0
|
||||
"2003",33,10,0
|
||||
"2004",28,12,0
|
||||
"2005",35,13,0
|
||||
"2006",34,9,0
|
||||
"2007",56,12,0
|
||||
"2008",76,17,0
|
||||
"2009",106,14,0
|
||||
"2010",204,23,0
|
||||
"2011",368,61,0
|
||||
"2012",401,69,0
|
||||
"2013",633,95,0
|
||||
"2014",537,73,0
|
||||
"2015",537,64,0
|
||||
"2016",700,80,0
|
||||
"2017",1034,140,0
|
||||
"2018",1278,159,0
|
||||
"2019",1828,244,0
|
||||
"2020",1316,240,1
|
||||
"2021",1476,403,1
|
||||
"2022",370,94,0
|
||||
"2023",83,26,0
|
|
|
@ -0,0 +1,29 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",122,20,2
|
||||
"1974",9,0,0
|
||||
"1978",1,0,0
|
||||
"1982",1,0,0
|
||||
"1984",1,0,0
|
||||
"1987",1,0,0
|
||||
"1989",1,0,0
|
||||
"1991",1,1,0
|
||||
"1996",1,0,0
|
||||
"2005",1,1,0
|
||||
"2006",6,0,0
|
||||
"2007",10,3,0
|
||||
"2008",26,10,0
|
||||
"2009",57,8,0
|
||||
"2010",68,9,0
|
||||
"2011",98,17,0
|
||||
"2012",149,29,0
|
||||
"2013",211,37,0
|
||||
"2014",161,35,0
|
||||
"2015",145,53,0
|
||||
"2016",180,48,0
|
||||
"2017",250,37,0
|
||||
"2018",278,52,0
|
||||
"2019",645,129,1
|
||||
"2020",695,187,0
|
||||
"2021",209,35,0
|
||||
"2022",297,76,0
|
||||
"2023",458,87,1
|
|
|
@ -0,0 +1,35 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",46,10,1
|
||||
"1973",0,1,0
|
||||
"1974",1,0,0
|
||||
"1976",2,0,0
|
||||
"1983",1,0,0
|
||||
"1985",1,0,0
|
||||
"1987",2,0,0
|
||||
"1988",1,0,0
|
||||
"1992",1,0,0
|
||||
"1993",1,0,0
|
||||
"1994",1,0,0
|
||||
"1995",0,1,0
|
||||
"1997",1,0,0
|
||||
"2000",1,0,0
|
||||
"2001",2,0,0
|
||||
"2002",1,0,0
|
||||
"2003",2,0,0
|
||||
"2007",1,0,0
|
||||
"2008",1,0,0
|
||||
"2009",4,3,0
|
||||
"2010",11,7,0
|
||||
"2011",7,5,0
|
||||
"2012",11,3,0
|
||||
"2013",39,4,0
|
||||
"2014",17,11,0
|
||||
"2015",35,37,0
|
||||
"2016",80,50,0
|
||||
"2017",63,41,0
|
||||
"2018",34,37,0
|
||||
"2019",40,9,0
|
||||
"2020",145,67,0
|
||||
"2021",98,29,0
|
||||
"2022",179,88,0
|
||||
"2023",153,97,0
|
|
|
@ -0,0 +1,27 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",342,54,2
|
||||
"1981",2,0,0
|
||||
"1993",1,0,0
|
||||
"1995",1,0,0
|
||||
"1997",0,1,0
|
||||
"2000",1,0,0
|
||||
"2001",0,1,0
|
||||
"2002",3,0,0
|
||||
"2005",0,2,0
|
||||
"2006",0,1,0
|
||||
"2008",3,0,0
|
||||
"2009",9,0,0
|
||||
"2010",17,1,0
|
||||
"2011",17,1,0
|
||||
"2012",6,4,1
|
||||
"2013",17,1,0
|
||||
"2014",10,0,0
|
||||
"2015",7,3,0
|
||||
"2016",20,1,0
|
||||
"2017",114,17,0
|
||||
"2018",164,29,0
|
||||
"2019",87,23,1
|
||||
"2020",104,33,0
|
||||
"2021",71,34,0
|
||||
"2022",70,28,0
|
||||
"2023",56,24,0
|
|
|
@ -0,0 +1,44 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",52,9,1
|
||||
"1964",1,0,0
|
||||
"1973",1,0,0
|
||||
"1975",2,1,0
|
||||
"1978",5,1,0
|
||||
"1979",1,0,0
|
||||
"1980",1,0,0
|
||||
"1982",1,0,0
|
||||
"1985",1,0,0
|
||||
"1988",2,0,0
|
||||
"1989",1,0,0
|
||||
"1991",1,0,0
|
||||
"1993",1,0,0
|
||||
"1994",1,0,0
|
||||
"1995",1,0,0
|
||||
"1996",1,0,0
|
||||
"1997",1,0,0
|
||||
"1998",2,0,0
|
||||
"1999",1,0,0
|
||||
"2000",4,2,0
|
||||
"2001",2,0,0
|
||||
"2002",3,1,0
|
||||
"2003",2,1,0
|
||||
"2004",2,0,0
|
||||
"2005",6,0,0
|
||||
"2006",11,3,0
|
||||
"2007",75,10,0
|
||||
"2008",51,16,0
|
||||
"2009",119,30,0
|
||||
"2010",592,127,0
|
||||
"2011",534,142,0
|
||||
"2012",157,70,0
|
||||
"2013",85,41,0
|
||||
"2014",64,38,0
|
||||
"2015",94,69,0
|
||||
"2016",138,69,0
|
||||
"2017",178,75,0
|
||||
"2018",342,174,0
|
||||
"2019",338,178,0
|
||||
"2020",134,58,0
|
||||
"2021",33,10,0
|
||||
"2022",53,19,1
|
||||
"2023",144,50,0
|
|
|
@ -0,0 +1,32 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",39,11,5
|
||||
"1975",2,1,0
|
||||
"1977",1,0,0
|
||||
"1978",3,0,0
|
||||
"1987",1,0,0
|
||||
"1994",0,1,0
|
||||
"1995",1,0,0
|
||||
"1998",0,1,0
|
||||
"2000",1,0,0
|
||||
"2001",3,2,0
|
||||
"2002",1,0,0
|
||||
"2004",1,0,0
|
||||
"2005",7,2,0
|
||||
"2006",1,5,0
|
||||
"2007",23,12,0
|
||||
"2008",29,26,0
|
||||
"2009",4,4,0
|
||||
"2010",12,6,0
|
||||
"2011",11,5,0
|
||||
"2012",5,2,0
|
||||
"2013",14,9,0
|
||||
"2014",11,12,0
|
||||
"2015",13,3,0
|
||||
"2016",3,1,0
|
||||
"2017",7,4,0
|
||||
"2018",20,6,1
|
||||
"2019",30,4,1
|
||||
"2020",10,5,0
|
||||
"2021",22,6,0
|
||||
"2022",33,11,0
|
||||
"2023",26,7,0
|
|
|
@ -0,0 +1,34 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",113,42,2
|
||||
"1972",1,0,0
|
||||
"1975",1,0,0
|
||||
"1976",2,0,0
|
||||
"1978",1,0,0
|
||||
"1980",1,0,0
|
||||
"1984",2,0,0
|
||||
"1985",0,1,0
|
||||
"1993",1,0,0
|
||||
"1994",1,0,0
|
||||
"1999",1,0,0
|
||||
"2001",0,2,0
|
||||
"2002",1,0,0
|
||||
"2003",1,0,0
|
||||
"2004",1,1,0
|
||||
"2005",1,2,0
|
||||
"2007",2,0,0
|
||||
"2008",21,2,0
|
||||
"2009",26,14,0
|
||||
"2010",23,7,0
|
||||
"2011",31,14,0
|
||||
"2012",29,9,0
|
||||
"2013",32,25,0
|
||||
"2014",59,57,0
|
||||
"2015",57,47,0
|
||||
"2016",162,122,0
|
||||
"2017",116,105,0
|
||||
"2018",173,100,0
|
||||
"2019",130,45,0
|
||||
"2020",31,13,0
|
||||
"2021",37,15,0
|
||||
"2022",13,18,0
|
||||
"2023",138,78,1
|
|
|
@ -0,0 +1,26 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",17,5,0
|
||||
"1971",1,0,0
|
||||
"1980",1,0,0
|
||||
"1981",1,0,0
|
||||
"2000",1,0,0
|
||||
"2003",1,1,0
|
||||
"2005",1,0,0
|
||||
"2006",2,0,0
|
||||
"2007",2,1,0
|
||||
"2008",1,1,0
|
||||
"2009",2,1,0
|
||||
"2010",22,0,0
|
||||
"2011",13,2,0
|
||||
"2012",10,4,0
|
||||
"2013",16,6,0
|
||||
"2014",14,6,0
|
||||
"2015",22,6,0
|
||||
"2016",23,4,0
|
||||
"2017",20,0,0
|
||||
"2018",27,10,0
|
||||
"2019",24,4,0
|
||||
"2020",10,4,0
|
||||
"2021",11,3,0
|
||||
"2022",8,2,0
|
||||
"2023",10,4,0
|
|
|
@ -0,0 +1,23 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",49,19,2
|
||||
"1999",0,1,0
|
||||
"2001",1,0,0
|
||||
"2005",1,0,0
|
||||
"2006",1,0,0
|
||||
"2007",1,2,0
|
||||
"2008",1,2,0
|
||||
"2009",4,1,0
|
||||
"2010",1,0,0
|
||||
"2011",4,0,0
|
||||
"2012",2,3,0
|
||||
"2013",2,3,0
|
||||
"2014",10,1,0
|
||||
"2015",10,4,0
|
||||
"2016",11,1,0
|
||||
"2017",17,9,0
|
||||
"2018",14,13,0
|
||||
"2019",86,29,0
|
||||
"2020",41,7,0
|
||||
"2021",48,34,0
|
||||
"2022",158,86,0
|
||||
"2023",74,38,0
|
|
|
@ -0,0 +1,40 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",115,8,1
|
||||
"1972",1,0,0
|
||||
"1974",0,1,0
|
||||
"1976",8,1,0
|
||||
"1977",34,0,0
|
||||
"1978",4,1,0
|
||||
"1979",3,0,0
|
||||
"1980",1,0,0
|
||||
"1982",1,0,0
|
||||
"1989",1,0,0
|
||||
"1990",2,0,0
|
||||
"1993",2,1,0
|
||||
"1995",2,0,0
|
||||
"1996",1,0,0
|
||||
"1998",1,0,0
|
||||
"1999",4,0,0
|
||||
"2000",2,1,0
|
||||
"2001",2,1,0
|
||||
"2002",3,0,0
|
||||
"2004",2,1,0
|
||||
"2005",1,1,0
|
||||
"2006",3,1,0
|
||||
"2007",48,9,0
|
||||
"2008",76,5,0
|
||||
"2009",54,5,0
|
||||
"2010",202,17,0
|
||||
"2011",199,18,1
|
||||
"2012",188,18,0
|
||||
"2013",273,22,0
|
||||
"2014",156,22,0
|
||||
"2015",192,51,0
|
||||
"2016",268,41,0
|
||||
"2017",468,33,0
|
||||
"2018",504,29,0
|
||||
"2019",550,53,1
|
||||
"2020",274,33,0
|
||||
"2021",300,52,0
|
||||
"2022",199,32,0
|
||||
"2023",225,32,0
|
|
|
@ -0,0 +1,26 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",101,21,2
|
||||
"1980",1,0,0
|
||||
"1987",1,0,0
|
||||
"1992",1,0,0
|
||||
"1996",1,0,0
|
||||
"2000",1,1,0
|
||||
"2005",2,1,0
|
||||
"2006",1,0,0
|
||||
"2007",2,0,0
|
||||
"2008",4,1,0
|
||||
"2009",12,2,0
|
||||
"2010",58,3,0
|
||||
"2011",39,2,0
|
||||
"2012",8,2,0
|
||||
"2013",11,7,0
|
||||
"2014",5,6,0
|
||||
"2015",8,1,0
|
||||
"2016",17,16,0
|
||||
"2017",5,1,0
|
||||
"2018",13,3,0
|
||||
"2019",40,13,0
|
||||
"2020",42,8,0
|
||||
"2021",107,25,0
|
||||
"2022",94,31,0
|
||||
"2023",95,36,0
|
|
|
@ -0,0 +1,36 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",86,15,5
|
||||
"1974",3,0,0
|
||||
"1977",1,0,0
|
||||
"1978",2,0,0
|
||||
"1981",7,1,0
|
||||
"1982",1,0,0
|
||||
"1989",1,0,0
|
||||
"1994",2,0,0
|
||||
"1995",1,0,0
|
||||
"1998",1,0,0
|
||||
"1999",2,0,0
|
||||
"2000",1,0,0
|
||||
"2001",3,0,0
|
||||
"2002",2,0,0
|
||||
"2003",1,0,0
|
||||
"2004",5,0,0
|
||||
"2005",5,0,0
|
||||
"2006",3,0,0
|
||||
"2007",17,7,0
|
||||
"2008",31,7,0
|
||||
"2009",47,3,0
|
||||
"2010",64,11,0
|
||||
"2011",56,6,0
|
||||
"2012",103,17,0
|
||||
"2013",145,22,0
|
||||
"2014",211,66,0
|
||||
"2015",212,89,0
|
||||
"2016",226,100,0
|
||||
"2017",452,188,0
|
||||
"2018",374,66,0
|
||||
"2019",523,71,1
|
||||
"2020",548,74,0
|
||||
"2021",112,18,0
|
||||
"2022",140,18,0
|
||||
"2023",79,27,0
|
|
|
@ -0,0 +1,24 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",14,3,2
|
||||
"1992",1,0,0
|
||||
"1995",1,0,0
|
||||
"1996",1,0,0
|
||||
"1999",1,0,0
|
||||
"2002",0,1,0
|
||||
"2004",1,0,0
|
||||
"2007",2,1,0
|
||||
"2008",1,0,0
|
||||
"2009",3,1,0
|
||||
"2010",1,1,0
|
||||
"2011",5,0,0
|
||||
"2013",1,2,0
|
||||
"2014",17,11,0
|
||||
"2015",10,8,0
|
||||
"2016",8,19,0
|
||||
"2017",1,2,0
|
||||
"2018",2,1,0
|
||||
"2019",2,4,0
|
||||
"2020",9,5,0
|
||||
"2021",35,13,0
|
||||
"2022",24,15,0
|
||||
"2023",6,2,0
|
|
|
@ -0,0 +1,41 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",1040,257,17
|
||||
"1968",1,0,0
|
||||
"1973",1,0,0
|
||||
"1974",1,0,0
|
||||
"1978",1,0,0
|
||||
"1981",0,1,0
|
||||
"1982",1,0,0
|
||||
"1985",1,0,0
|
||||
"1987",1,0,0
|
||||
"1989",2,0,0
|
||||
"1991",3,0,0
|
||||
"1992",1,0,0
|
||||
"1993",1,1,0
|
||||
"1996",3,1,0
|
||||
"1997",1,0,0
|
||||
"1998",3,0,0
|
||||
"1999",3,0,0
|
||||
"2001",5,1,0
|
||||
"2002",8,2,0
|
||||
"2003",3,1,0
|
||||
"2004",8,1,0
|
||||
"2005",9,3,0
|
||||
"2006",27,9,0
|
||||
"2007",52,26,0
|
||||
"2008",60,16,0
|
||||
"2009",165,48,0
|
||||
"2010",891,167,0
|
||||
"2011",1021,274,0
|
||||
"2012",867,245,0
|
||||
"2013",558,183,0
|
||||
"2014",619,172,1
|
||||
"2015",295,79,0
|
||||
"2016",699,213,0
|
||||
"2017",893,279,0
|
||||
"2018",696,221,0
|
||||
"2019",635,209,2
|
||||
"2020",348,94,0
|
||||
"2021",175,30,0
|
||||
"2022",184,36,0
|
||||
"2023",197,40,0
|
|
|
@ -0,0 +1,17 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",4,3,1
|
||||
"1981",0,1,0
|
||||
"2009",1,3,0
|
||||
"2011",2,0,0
|
||||
"2012",2,0,0
|
||||
"2013",4,3,0
|
||||
"2014",3,3,0
|
||||
"2015",4,3,0
|
||||
"2016",2,3,0
|
||||
"2017",1,1,0
|
||||
"2018",3,0,0
|
||||
"2019",5,2,0
|
||||
"2020",12,7,0
|
||||
"2021",20,6,0
|
||||
"2022",11,7,0
|
||||
"2023",3,16,0
|
|
|
@ -0,0 +1,33 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",677,219,9
|
||||
"1976",1,0,0
|
||||
"1978",0,0,1
|
||||
"1982",1,0,0
|
||||
"1984",1,0,0
|
||||
"1993",0,1,0
|
||||
"1996",1,1,0
|
||||
"1998",3,0,0
|
||||
"2000",2,0,0
|
||||
"2001",3,0,0
|
||||
"2002",3,1,0
|
||||
"2003",2,2,0
|
||||
"2004",1,1,0
|
||||
"2005",3,2,0
|
||||
"2006",3,11,0
|
||||
"2007",16,10,0
|
||||
"2008",21,10,0
|
||||
"2009",32,10,0
|
||||
"2010",128,33,0
|
||||
"2011",353,108,1
|
||||
"2012",240,43,0
|
||||
"2013",385,70,3
|
||||
"2014",468,99,2
|
||||
"2015",455,88,4
|
||||
"2016",456,162,1
|
||||
"2017",282,76,4
|
||||
"2018",350,134,1
|
||||
"2019",349,142,0
|
||||
"2020",386,108,1
|
||||
"2021",375,114,0
|
||||
"2022",369,121,0
|
||||
"2023",307,150,2
|
|
|
@ -0,0 +1,30 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",5,1,0
|
||||
"1987",1,0,0
|
||||
"1990",1,0,0
|
||||
"1995",0,1,0
|
||||
"1996",2,0,0
|
||||
"1998",1,1,0
|
||||
"2000",2,1,0
|
||||
"2001",0,1,0
|
||||
"2003",1,0,0
|
||||
"2004",1,2,0
|
||||
"2005",6,3,0
|
||||
"2006",1,3,0
|
||||
"2007",12,6,0
|
||||
"2008",4,1,0
|
||||
"2009",2,0,0
|
||||
"2010",2,1,0
|
||||
"2011",8,1,0
|
||||
"2012",10,6,0
|
||||
"2013",19,11,0
|
||||
"2014",27,10,0
|
||||
"2015",20,3,0
|
||||
"2016",16,2,0
|
||||
"2017",21,5,0
|
||||
"2018",11,4,0
|
||||
"2019",14,6,0
|
||||
"2020",9,3,0
|
||||
"2021",16,4,0
|
||||
"2022",11,1,0
|
||||
"2023",4,0,0
|
|
|
@ -0,0 +1,25 @@
|
|||
"Category","Hombre","Mujer","Indeterminado"
|
||||
"1.CIFRA SIN AÑO DE REFERENCIA",96,13,0
|
||||
"1988",1,0,0
|
||||
"1995",0,1,0
|
||||
"2002",0,1,0
|
||||
"2003",2,0,0
|
||||
"2005",1,1,0
|
||||
"2006",3,0,0
|
||||
"2007",4,1,0
|
||||
"2008",20,2,0
|
||||
"2009",30,5,0
|
||||
"2010",67,2,0
|
||||
"2011",55,10,0
|
||||
"2012",39,19,0
|
||||
"2013",55,15,0
|
||||
"2014",65,5,0
|
||||
"2015",71,10,0
|
||||
"2016",80,10,0
|
||||
"2017",130,20,0
|
||||
"2018",101,33,0
|
||||
"2019",134,43,0
|
||||
"2020",109,22,0
|
||||
"2021",145,32,0
|
||||
"2022",183,29,0
|
||||
"2023",204,38,0
|
|
|
@ -0,0 +1,61 @@
|
|||
Desconocido
|
||||
1964 0
|
||||
1965 0
|
||||
1966 0
|
||||
1967 0
|
||||
1968 0
|
||||
1969 2
|
||||
1970 0
|
||||
1971 0
|
||||
1972 4
|
||||
1973 11
|
||||
1974 53
|
||||
1975 22
|
||||
1976 44
|
||||
1977 20
|
||||
1978 4
|
||||
1979 0
|
||||
1980 0
|
||||
1981 4
|
||||
1982 2
|
||||
1983 0
|
||||
1984 0
|
||||
1985 0
|
||||
1986 0
|
||||
1987 0
|
||||
1988 2
|
||||
1989 0
|
||||
1990 0
|
||||
1991 0
|
||||
1992 2
|
||||
1993 0
|
||||
1994 2
|
||||
1995 0
|
||||
1996 4
|
||||
1997 0
|
||||
1998 0
|
||||
1999 2
|
||||
2000 2
|
||||
2001 2
|
||||
2002 4
|
||||
2003 2
|
||||
2004 0
|
||||
2005 0
|
||||
2006 4
|
||||
2007 4
|
||||
2008 20
|
||||
2009 20
|
||||
2010 62
|
||||
2011 77
|
||||
2012 37
|
||||
2013 66
|
||||
2014 121
|
||||
2015 57
|
||||
2016 49
|
||||
2017 49
|
||||
2018 13
|
||||
2019 20
|
||||
2020 31
|
||||
2021 20
|
||||
2022 79
|
||||
2023 13
|
|
@ -0,0 +1,58 @@
|
|||
1964 2
|
||||
1967 5
|
||||
1968 3
|
||||
1969 5
|
||||
1970 2
|
||||
1971 20
|
||||
1972 44
|
||||
1973 48
|
||||
1974 396
|
||||
1975 80
|
||||
1976 130
|
||||
1977 150
|
||||
1978 78
|
||||
1979 18
|
||||
1980 19
|
||||
1981 37
|
||||
1982 20
|
||||
1983 11
|
||||
1984 9
|
||||
1985 12
|
||||
1986 3
|
||||
1987 17
|
||||
1988 10
|
||||
1989 16
|
||||
1990 8
|
||||
1991 16
|
||||
1992 21
|
||||
1993 21
|
||||
1994 26
|
||||
1995 34
|
||||
1996 33
|
||||
1997 28
|
||||
1998 39
|
||||
1999 34
|
||||
2000 63
|
||||
2001 88
|
||||
2002 124
|
||||
2003 117
|
||||
2004 123
|
||||
2005 189
|
||||
2006 274
|
||||
2007 863
|
||||
2008 1107
|
||||
2009 1811
|
||||
2010 4389
|
||||
2011 5496
|
||||
2012 4394
|
||||
2013 4986
|
||||
2014 5066
|
||||
2015 4414
|
||||
2016 6474
|
||||
2017 8392
|
||||
2018 8085
|
||||
2019 10062
|
||||
2020 8067
|
||||
2021 7313
|
||||
2022 7497
|
||||
2023 7158
|
|
@ -0,0 +1,17 @@
|
|||
2006 1
|
||||
2007 24
|
||||
2008 6
|
||||
2009 9
|
||||
2010 13
|
||||
2011 15
|
||||
2012 11
|
||||
2013 6
|
||||
2014 13
|
||||
2015 35
|
||||
2016 13
|
||||
2017 26
|
||||
2018 26
|
||||
2020 5
|
||||
2021 18
|
||||
2022 9
|
||||
2023 14
|
|
@ -0,0 +1,30 @@
|
|||
1980 1
|
||||
1981 4
|
||||
1987 1
|
||||
1989 4
|
||||
1995 1
|
||||
1997 1
|
||||
1998 1
|
||||
1999 1
|
||||
2002 3
|
||||
2003 3
|
||||
2004 1
|
||||
2005 5
|
||||
2006 14
|
||||
2007 43
|
||||
2008 44
|
||||
2009 22
|
||||
2010 19
|
||||
2011 26
|
||||
2012 128
|
||||
2013 187
|
||||
2014 247
|
||||
2015 15
|
||||
2016 256
|
||||
2017 314
|
||||
2018 33
|
||||
2019 69
|
||||
2020 165
|
||||
2021 170
|
||||
2022 501
|
||||
2023 235
|
|
@ -0,0 +1,23 @@
|
|||
1967 1
|
||||
1992 1
|
||||
1995 1
|
||||
1998 1
|
||||
2005 1
|
||||
2006 1
|
||||
2007 3
|
||||
2008 4
|
||||
2009 1
|
||||
2010 4
|
||||
2011 1
|
||||
2012 4
|
||||
2013 14
|
||||
2014 4
|
||||
2015 25
|
||||
2016 50
|
||||
2017 74
|
||||
2018 89
|
||||
2019 95
|
||||
2020 92
|
||||
2021 112
|
||||
2022 52
|
||||
2023 130
|
|
@ -0,0 +1,13 @@
|
|||
1980 1
|
||||
2007 1
|
||||
2008 4
|
||||
2013 2
|
||||
2014 6
|
||||
2015 7
|
||||
2016 3
|
||||
2017 1
|
||||
2019 4
|
||||
2020 1
|
||||
2021 6
|
||||
2022 20
|
||||
2023 13
|
|
@ -0,0 +1,51 @@
|
|||
1964 1
|
||||
1967 1
|
||||
1969 1
|
||||
1970 1
|
||||
1972 2
|
||||
1973 2
|
||||
1974 6
|
||||
1975 17
|
||||
1976 14
|
||||
1977 6
|
||||
1978 14
|
||||
1979 5
|
||||
1980 3
|
||||
1981 8
|
||||
1982 8
|
||||
1983 5
|
||||
1984 2
|
||||
1985 1
|
||||
1986 2
|
||||
1987 4
|
||||
1988 1
|
||||
1992 2
|
||||
1993 2
|
||||
1994 3
|
||||
1995 4
|
||||
1996 2
|
||||
1998 4
|
||||
2000 2
|
||||
2001 6
|
||||
2002 6
|
||||
2003 3
|
||||
2004 6
|
||||
2005 4
|
||||
2006 3
|
||||
2007 9
|
||||
2008 12
|
||||
2009 105
|
||||
2010 48
|
||||
2011 276
|
||||
2012 107
|
||||
2013 98
|
||||
2014 80
|
||||
2015 90
|
||||
2016 50
|
||||
2017 62
|
||||
2018 94
|
||||
2019 898
|
||||
2020 443
|
||||
2021 680
|
||||
2022 1392
|
||||
2023 1181
|
|
@ -0,0 +1,39 @@
|
|||
1976 2
|
||||
1977 8
|
||||
1978 5
|
||||
1982 1
|
||||
1986 1
|
||||
1989 1
|
||||
1990 1
|
||||
1991 1
|
||||
1993 1
|
||||
1994 1
|
||||
1995 5
|
||||
1996 7
|
||||
1997 6
|
||||
1998 6
|
||||
1999 3
|
||||
2000 5
|
||||
2001 7
|
||||
2002 15
|
||||
2003 7
|
||||
2004 5
|
||||
2005 11
|
||||
2006 20
|
||||
2007 26
|
||||
2008 40
|
||||
2009 91
|
||||
2010 117
|
||||
2011 112
|
||||
2012 104
|
||||
2013 141
|
||||
2014 163
|
||||
2015 144
|
||||
2016 183
|
||||
2017 287
|
||||
2018 354
|
||||
2019 340
|
||||
2020 23
|
||||
2021 39
|
||||
2022 66
|
||||
2023 66
|
|
@ -0,0 +1,29 @@
|
|||
1974 12
|
||||
1992 1
|
||||
1994 3
|
||||
1995 1
|
||||
1996 1
|
||||
2000 2
|
||||
2001 1
|
||||
2002 2
|
||||
2003 2
|
||||
2004 1
|
||||
2005 1
|
||||
2006 2
|
||||
2007 1
|
||||
2008 2
|
||||
2009 4
|
||||
2010 5
|
||||
2011 3
|
||||
2012 10
|
||||
2013 5
|
||||
2014 3
|
||||
2015 15
|
||||
2016 22
|
||||
2017 26
|
||||
2018 48
|
||||
2019 31
|
||||
2020 44
|
||||
2021 67
|
||||
2022 83
|
||||
2023 139
|
|
@ -0,0 +1,31 @@
|
|||
1993 1
|
||||
1994 2
|
||||
1995 1
|
||||
1996 1
|
||||
1997 3
|
||||
1998 1
|
||||
1999 1
|
||||
2000 2
|
||||
2001 7
|
||||
2002 16
|
||||
2003 15
|
||||
2004 15
|
||||
2005 16
|
||||
2006 15
|
||||
2007 80
|
||||
2008 165
|
||||
2009 320
|
||||
2010 489
|
||||
2011 485
|
||||
2012 310
|
||||
2013 253
|
||||
2014 164
|
||||
2015 78
|
||||
2016 73
|
||||
2017 54
|
||||
2018 43
|
||||
2019 59
|
||||
2020 53
|
||||
2021 63
|
||||
2022 199
|
||||
2023 77
|
|
@ -0,0 +1,19 @@
|
|||
1997 2
|
||||
2003 5
|
||||
2007 2
|
||||
2008 6
|
||||
2009 2
|
||||
2010 29
|
||||
2011 35
|
||||
2012 55
|
||||
2013 66
|
||||
2014 78
|
||||
2015 23
|
||||
2016 101
|
||||
2017 330
|
||||
2018 237
|
||||
2019 49
|
||||
2020 121
|
||||
2021 58
|
||||
2022 63
|
||||
2023 23
|
|
@ -0,0 +1,29 @@
|
|||
1987 1
|
||||
1990 1
|
||||
1991 2
|
||||
1993 1
|
||||
1997 1
|
||||
2000 1
|
||||
2001 1
|
||||
2002 1
|
||||
2003 4
|
||||
2004 4
|
||||
2005 2
|
||||
2006 4
|
||||
2007 9
|
||||
2008 20
|
||||
2009 40
|
||||
2010 169
|
||||
2011 72
|
||||
2012 67
|
||||
2013 22
|
||||
2014 20
|
||||
2015 15
|
||||
2016 22
|
||||
2017 51
|
||||
2018 34
|
||||
2019 41
|
||||
2020 46
|
||||
2021 26
|
||||
2022 38
|
||||
2023 62
|
|
@ -0,0 +1,46 @@
|
|||
1968 1
|
||||
1971 1
|
||||
1974 3
|
||||
1976 13
|
||||
1977 1
|
||||
1978 6
|
||||
1979 1
|
||||
1981 6
|
||||
1982 1
|
||||
1983 4
|
||||
1984 1
|
||||
1985 6
|
||||
1989 3
|
||||
1990 3
|
||||
1992 1
|
||||
1993 1
|
||||
1994 1
|
||||
1995 3
|
||||
1996 1
|
||||
1997 6
|
||||
1998 1
|
||||
1999 6
|
||||
2000 12
|
||||
2001 7
|
||||
2002 10
|
||||
2003 6
|
||||
2004 7
|
||||
2005 13
|
||||
2006 39
|
||||
2007 151
|
||||
2008 117
|
||||
2009 204
|
||||
2010 184
|
||||
2011 281
|
||||
2012 332
|
||||
2013 452
|
||||
2014 409
|
||||
2015 469
|
||||
2016 869
|
||||
2017 1059
|
||||
2018 313
|
||||
2019 110
|
||||
2020 614
|
||||
2021 1370
|
||||
2022 1227
|
||||
2023 1770
|
|
@ -0,0 +1,44 @@
|
|||
1967 1
|
||||
1968 1
|
||||
1969 2
|
||||
1970 1
|
||||
1971 16
|
||||
1972 32
|
||||
1973 23
|
||||
1974 287
|
||||
1975 39
|
||||
1976 57
|
||||
1977 48
|
||||
1978 26
|
||||
1979 4
|
||||
1981 1
|
||||
1985 1
|
||||
1989 1
|
||||
1992 2
|
||||
1994 3
|
||||
1995 1
|
||||
1997 1
|
||||
1999 1
|
||||
2000 9
|
||||
2001 1
|
||||
2002 1
|
||||
2004 3
|
||||
2005 7
|
||||
2006 6
|
||||
2007 39
|
||||
2008 38
|
||||
2009 28
|
||||
2010 84
|
||||
2011 119
|
||||
2012 133
|
||||
2013 304
|
||||
2014 371
|
||||
2015 246
|
||||
2016 315
|
||||
2017 371
|
||||
2018 290
|
||||
2019 260
|
||||
2020 207
|
||||
2021 239
|
||||
2022 233
|
||||
2023 232
|
|
@ -0,0 +1,29 @@
|
|||
1984 1
|
||||
1991 1
|
||||
1995 1
|
||||
1996 1
|
||||
1998 2
|
||||
1999 1
|
||||
2001 6
|
||||
2002 1
|
||||
2003 1
|
||||
2004 1
|
||||
2005 3
|
||||
2006 15
|
||||
2007 16
|
||||
2008 17
|
||||
2009 23
|
||||
2010 27
|
||||
2011 60
|
||||
2012 29
|
||||
2013 33
|
||||
2014 54
|
||||
2015 98
|
||||
2016 140
|
||||
2017 250
|
||||
2018 404
|
||||
2019 498
|
||||
2020 458
|
||||
2021 61
|
||||
2022 284
|
||||
2023 114
|
|
@ -0,0 +1,28 @@
|
|||
1971 1
|
||||
1972 1
|
||||
1973 1
|
||||
1974 20
|
||||
1981 3
|
||||
1991 3
|
||||
1992 1
|
||||
1997 1
|
||||
2004 1
|
||||
2005 1
|
||||
2006 3
|
||||
2007 10
|
||||
2008 25
|
||||
2009 28
|
||||
2010 24
|
||||
2011 43
|
||||
2012 24
|
||||
2013 11
|
||||
2014 6
|
||||
2015 25
|
||||
2016 25
|
||||
2017 40
|
||||
2018 34
|
||||
2019 18
|
||||
2020 78
|
||||
2021 13
|
||||
2022 51
|
||||
2023 60
|
|
@ -0,0 +1,47 @@
|
|||
1967 1
|
||||
1972 1
|
||||
1973 11
|
||||
1976 2
|
||||
1977 29
|
||||
1979 2
|
||||
1980 8
|
||||
1981 1
|
||||
1982 2
|
||||
1983 1
|
||||
1985 1
|
||||
1987 2
|
||||
1988 3
|
||||
1989 1
|
||||
1991 2
|
||||
1992 7
|
||||
1993 3
|
||||
1994 3
|
||||
1995 3
|
||||
1996 1
|
||||
1997 3
|
||||
1998 7
|
||||
1999 5
|
||||
2000 5
|
||||
2001 15
|
||||
2002 31
|
||||
2003 47
|
||||
2004 44
|
||||
2005 52
|
||||
2006 47
|
||||
2007 74
|
||||
2008 101
|
||||
2009 131
|
||||
2010 248
|
||||
2011 468
|
||||
2012 513
|
||||
2013 794
|
||||
2014 666
|
||||
2015 656
|
||||
2016 851
|
||||
2017 1281
|
||||
2018 1568
|
||||
2019 2261
|
||||
2020 1699
|
||||
2021 2051
|
||||
2022 506
|
||||
2023 119
|
|
@ -0,0 +1,27 @@
|
|||
1974 9
|
||||
1978 1
|
||||
1982 1
|
||||
1984 1
|
||||
1987 1
|
||||
1989 1
|
||||
1991 2
|
||||
1996 1
|
||||
2005 2
|
||||
2006 6
|
||||
2007 13
|
||||
2008 37
|
||||
2009 67
|
||||
2010 79
|
||||
2011 118
|
||||
2012 183
|
||||
2013 255
|
||||
2014 202
|
||||
2015 204
|
||||
2016 235
|
||||
2017 296
|
||||
2018 340
|
||||
2019 798
|
||||
2020 908
|
||||
2021 251
|
||||
2022 384
|
||||
2023 562
|
|
@ -0,0 +1,33 @@
|
|||
1973 1
|
||||
1974 1
|
||||
1976 2
|
||||
1983 1
|
||||
1985 1
|
||||
1987 2
|
||||
1988 1
|
||||
1992 1
|
||||
1993 1
|
||||
1994 1
|
||||
1995 1
|
||||
1997 1
|
||||
2000 1
|
||||
2001 2
|
||||
2002 1
|
||||
2003 2
|
||||
2007 1
|
||||
2008 1
|
||||
2009 7
|
||||
2010 19
|
||||
2011 12
|
||||
2012 15
|
||||
2013 45
|
||||
2014 29
|
||||
2015 75
|
||||
2016 135
|
||||
2017 108
|
||||
2018 74
|
||||
2019 51
|
||||
2020 220
|
||||
2021 132
|
||||
2022 278
|
||||
2023 260
|
|
@ -0,0 +1,25 @@
|
|||
1981 3
|
||||
1993 1
|
||||
1995 1
|
||||
1997 1
|
||||
2000 1
|
||||
2001 1
|
||||
2002 4
|
||||
2005 3
|
||||
2006 1
|
||||
2008 4
|
||||
2009 13
|
||||
2010 25
|
||||
2011 25
|
||||
2012 15
|
||||
2013 25
|
||||
2014 14
|
||||
2015 14
|
||||
2016 29
|
||||
2017 184
|
||||
2018 271
|
||||
2019 156
|
||||
2020 192
|
||||
2021 147
|
||||
2022 138
|
||||
2023 112
|
|
@ -0,0 +1,42 @@
|
|||
1964 1
|
||||
1973 1
|
||||
1975 3
|
||||
1978 6
|
||||
1979 1
|
||||
1980 1
|
||||
1982 1
|
||||
1985 1
|
||||
1988 2
|
||||
1989 1
|
||||
1991 1
|
||||
1993 1
|
||||
1994 1
|
||||
1995 1
|
||||
1996 1
|
||||
1997 1
|
||||
1998 2
|
||||
1999 1
|
||||
2000 6
|
||||
2001 2
|
||||
2002 4
|
||||
2003 3
|
||||
2004 2
|
||||
2005 6
|
||||
2006 14
|
||||
2007 86
|
||||
2008 68
|
||||
2009 151
|
||||
2010 729
|
||||
2011 686
|
||||
2012 230
|
||||
2013 128
|
||||
2014 103
|
||||
2015 165
|
||||
2016 210
|
||||
2017 257
|
||||
2018 523
|
||||
2019 523
|
||||
2020 195
|
||||
2021 44
|
||||
2022 74
|
||||
2023 197
|
|
@ -0,0 +1,30 @@
|
|||
1975 3
|
||||
1977 1
|
||||
1978 3
|
||||
1987 1
|
||||
1994 1
|
||||
1995 1
|
||||
1998 1
|
||||
2000 1
|
||||
2001 6
|
||||
2002 1
|
||||
2004 1
|
||||
2005 10
|
||||
2006 7
|
||||
2007 39
|
||||
2008 62
|
||||
2009 9
|
||||
2010 20
|
||||
2011 18
|
||||
2012 8
|
||||
2013 26
|
||||
2014 26
|
||||
2015 18
|
||||
2016 5
|
||||
2017 12
|
||||
2018 30
|
||||
2019 39
|
||||
2020 17
|
||||
2021 32
|
||||
2022 50
|
||||
2023 37
|
|
@ -0,0 +1,32 @@
|
|||
1972 1
|
||||
1975 1
|
||||
1976 2
|
||||
1978 1
|
||||
1980 1
|
||||
1984 2
|
||||
1985 1
|
||||
1993 1
|
||||
1994 1
|
||||
1999 1
|
||||
2001 2
|
||||
2002 1
|
||||
2003 1
|
||||
2004 2
|
||||
2005 3
|
||||
2007 2
|
||||
2008 25
|
||||
2009 44
|
||||
2010 33
|
||||
2011 49
|
||||
2012 41
|
||||
2013 62
|
||||
2014 126
|
||||
2015 113
|
||||
2016 309
|
||||
2017 241
|
||||
2018 297
|
||||
2019 190
|
||||
2020 48
|
||||
2021 57
|
||||
2022 34
|
||||
2023 236
|
|
@ -0,0 +1,24 @@
|
|||
1971 1
|
||||
1980 1
|
||||
1981 1
|
||||
2000 1
|
||||
2003 2
|
||||
2005 1
|
||||
2006 2
|
||||
2007 3
|
||||
2008 2
|
||||
2009 3
|
||||
2010 24
|
||||
2011 16
|
||||
2012 15
|
||||
2013 24
|
||||
2014 21
|
||||
2015 30
|
||||
2016 29
|
||||
2017 21
|
||||
2018 40
|
||||
2019 30
|
||||
2020 15
|
||||
2021 15
|
||||
2022 11
|
||||
2023 15
|
|
@ -0,0 +1,21 @@
|
|||
1999 1
|
||||
2001 1
|
||||
2005 1
|
||||
2006 1
|
||||
2007 3
|
||||
2008 3
|
||||
2009 5
|
||||
2010 1
|
||||
2011 4
|
||||
2012 5
|
||||
2013 5
|
||||
2014 12
|
||||
2015 15
|
||||
2016 13
|
||||
2017 29
|
||||
2018 30
|
||||
2019 126
|
||||
2020 53
|
||||
2021 90
|
||||
2022 268
|
||||
2023 123
|
|
@ -0,0 +1,38 @@
|
|||
1972 1
|
||||
1974 1
|
||||
1976 9
|
||||
1977 35
|
||||
1978 5
|
||||
1979 3
|
||||
1980 1
|
||||
1982 1
|
||||
1989 1
|
||||
1990 2
|
||||
1993 3
|
||||
1995 2
|
||||
1996 1
|
||||
1998 1
|
||||
1999 4
|
||||
2000 3
|
||||
2001 3
|
||||
2002 3
|
||||
2004 3
|
||||
2005 2
|
||||
2006 4
|
||||
2007 58
|
||||
2008 83
|
||||
2009 61
|
||||
2010 225
|
||||
2011 224
|
||||
2012 211
|
||||
2013 303
|
||||
2014 183
|
||||
2015 249
|
||||
2016 317
|
||||
2017 514
|
||||
2018 547
|
||||
2019 620
|
||||
2020 315
|
||||
2021 361
|
||||
2022 237
|
||||
2023 264
|
|
@ -0,0 +1,24 @@
|
|||
1980 1
|
||||
1987 1
|
||||
1992 1
|
||||
1996 1
|
||||
2000 2
|
||||
2005 4
|
||||
2006 1
|
||||
2007 2
|
||||
2008 6
|
||||
2009 16
|
||||
2010 71
|
||||
2011 48
|
||||
2012 12
|
||||
2013 21
|
||||
2014 13
|
||||
2015 11
|
||||
2016 39
|
||||
2017 7
|
||||
2018 19
|
||||
2019 62
|
||||
2020 59
|
||||
2021 155
|
||||
2022 146
|
||||
2023 153
|
|
@ -0,0 +1,34 @@
|
|||
1974 3
|
||||
1977 1
|
||||
1978 2
|
||||
1981 8
|
||||
1982 1
|
||||
1989 1
|
||||
1994 2
|
||||
1995 1
|
||||
1998 1
|
||||
1999 2
|
||||
2000 1
|
||||
2001 3
|
||||
2002 2
|
||||
2003 1
|
||||
2004 5
|
||||
2005 5
|
||||
2006 3
|
||||
2007 25
|
||||
2008 39
|
||||
2009 51
|
||||
2010 77
|
||||
2011 64
|
||||
2012 123
|
||||
2013 171
|
||||
2014 284
|
||||
2015 309
|
||||
2016 334
|
||||
2017 656
|
||||
2018 451
|
||||
2019 610
|
||||
2020 638
|
||||
2021 133
|
||||
2022 162
|
||||
2023 109
|
|
@ -0,0 +1,22 @@
|
|||
1992 1
|
||||
1995 1
|
||||
1996 1
|
||||
1999 1
|
||||
2002 1
|
||||
2004 1
|
||||
2007 3
|
||||
2008 1
|
||||
2009 4
|
||||
2010 2
|
||||
2011 5
|
||||
2013 3
|
||||
2014 30
|
||||
2015 20
|
||||
2016 29
|
||||
2017 3
|
||||
2018 3
|
||||
2019 7
|
||||
2020 15
|
||||
2021 52
|
||||
2022 42
|
||||
2023 9
|
|
@ -0,0 +1,39 @@
|
|||
1968 1
|
||||
1973 1
|
||||
1974 1
|
||||
1978 1
|
||||
1981 1
|
||||
1982 1
|
||||
1985 1
|
||||
1987 1
|
||||
1989 2
|
||||
1991 3
|
||||
1992 1
|
||||
1993 2
|
||||
1996 4
|
||||
1997 1
|
||||
1998 3
|
||||
1999 3
|
||||
2001 7
|
||||
2002 11
|
||||
2003 4
|
||||
2004 10
|
||||
2005 13
|
||||
2006 40
|
||||
2007 87
|
||||
2008 85
|
||||
2009 239
|
||||
2010 1187
|
||||
2011 1453
|
||||
2012 1247
|
||||
2013 831
|
||||
2014 888
|
||||
2015 420
|
||||
2016 1023
|
||||
2017 1315
|
||||
2018 1029
|
||||
2019 949
|
||||
2020 496
|
||||
2021 230
|
||||
2022 247
|
||||
2023 266
|
|
@ -0,0 +1,15 @@
|
|||
1981 1
|
||||
2009 4
|
||||
2011 2
|
||||
2012 2
|
||||
2013 7
|
||||
2014 6
|
||||
2015 7
|
||||
2016 5
|
||||
2017 2
|
||||
2018 3
|
||||
2019 7
|
||||
2020 20
|
||||
2021 28
|
||||
2022 19
|
||||
2023 20
|
|
@ -0,0 +1,31 @@
|
|||
1976 1
|
||||
1978 1
|
||||
1982 1
|
||||
1984 1
|
||||
1993 1
|
||||
1996 2
|
||||
1998 3
|
||||
2000 2
|
||||
2001 3
|
||||
2002 5
|
||||
2003 5
|
||||
2004 2
|
||||
2005 6
|
||||
2006 16
|
||||
2007 30
|
||||
2008 35
|
||||
2009 48
|
||||
2010 183
|
||||
2011 526
|
||||
2012 322
|
||||
2013 522
|
||||
2014 648
|
||||
2015 623
|
||||
2016 705
|
||||
2017 412
|
||||
2018 552
|
||||
2019 559
|
||||
2020 564
|
||||
2021 557
|
||||
2022 558
|
||||
2023 523
|
|
@ -0,0 +1,28 @@
|
|||
1987 1
|
||||
1990 1
|
||||
1995 1
|
||||
1996 2
|
||||
1998 2
|
||||
2000 3
|
||||
2001 1
|
||||
2003 1
|
||||
2004 3
|
||||
2005 9
|
||||
2006 4
|
||||
2007 18
|
||||
2008 5
|
||||
2009 2
|
||||
2010 3
|
||||
2011 9
|
||||
2012 16
|
||||
2013 31
|
||||
2014 38
|
||||
2015 23
|
||||
2016 18
|
||||
2017 27
|
||||
2018 15
|
||||
2019 20
|
||||
2020 12
|
||||
2021 20
|
||||
2022 12
|
||||
2023 4
|
|
@ -0,0 +1,23 @@
|
|||
1988 1
|
||||
1995 1
|
||||
2002 1
|
||||
2003 2
|
||||
2005 2
|
||||
2006 3
|
||||
2007 5
|
||||
2008 23
|
||||
2009 37
|
||||
2010 73
|
||||
2011 69
|
||||
2012 62
|
||||
2013 74
|
||||
2014 74
|
||||
2015 86
|
||||
2016 95
|
||||
2017 159
|
||||
2018 142
|
||||
2019 188
|
||||
2020 139
|
||||
2021 188
|
||||
2022 225
|
||||
2023 257
|
|
@ -0,0 +1,61 @@
|
|||
Anho Aguascalientes
|
||||
1964 0
|
||||
1965 0
|
||||
1966 0
|
||||
1967 0
|
||||
1968 0
|
||||
1969 0
|
||||
1970 0
|
||||
1971 0
|
||||
1972 0
|
||||
1973 0
|
||||
1974 0
|
||||
1975 0
|
||||
1976 0
|
||||
1977 0
|
||||
1978 0
|
||||
1979 0
|
||||
1980 0
|
||||
1981 0
|
||||
1982 0
|
||||
1983 0
|
||||
1984 0
|
||||
1985 0
|
||||
1986 0
|
||||
1987 0
|
||||
1988 0
|
||||
1989 0
|
||||
1990 0
|
||||
1991 0
|
||||
1992 0
|
||||
1993 0
|
||||
1994 0
|
||||
1995 0
|
||||
1996 0
|
||||
1997 0
|
||||
1998 0
|
||||
1999 0
|
||||
2000 0
|
||||
2001 0
|
||||
2002 0
|
||||
2003 0
|
||||
2004 0
|
||||
2005 0
|
||||
2006 1
|
||||
2007 24
|
||||
2008 6
|
||||
2009 9
|
||||
2010 13
|
||||
2011 15
|
||||
2012 11
|
||||
2013 6
|
||||
2014 13
|
||||
2015 35
|
||||
2016 13
|
||||
2017 26
|
||||
2018 26
|
||||
2019 0
|
||||
2020 5
|
||||
2021 18
|
||||
2022 9
|
||||
2023 14
|
|
@ -0,0 +1,61 @@
|
|||
Baja_California
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
4
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
4
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
1
|
||||
1
|
||||
1
|
||||
0
|
||||
0
|
||||
3
|
||||
3
|
||||
1
|
||||
5
|
||||
14
|
||||
43
|
||||
44
|
||||
22
|
||||
19
|
||||
26
|
||||
128
|
||||
187
|
||||
247
|
||||
15
|
||||
256
|
||||
314
|
||||
33
|
||||
69
|
||||
165
|
||||
170
|
||||
501
|
||||
235
|
|
@ -0,0 +1,61 @@
|
|||
Baja_California_Sur
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
1
|
||||
3
|
||||
4
|
||||
1
|
||||
4
|
||||
1
|
||||
4
|
||||
14
|
||||
4
|
||||
25
|
||||
50
|
||||
74
|
||||
89
|
||||
95
|
||||
92
|
||||
112
|
||||
52
|
||||
130
|
|
@ -0,0 +1,61 @@
|
|||
Campeche
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
4
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
2
|
||||
6
|
||||
7
|
||||
3
|
||||
1
|
||||
0
|
||||
4
|
||||
1
|
||||
6
|
||||
20
|
||||
13
|
|
@ -0,0 +1,61 @@
|
|||
CdMx
|
||||
1
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
1
|
||||
1
|
||||
0
|
||||
2
|
||||
2
|
||||
6
|
||||
17
|
||||
14
|
||||
6
|
||||
14
|
||||
5
|
||||
3
|
||||
8
|
||||
8
|
||||
5
|
||||
2
|
||||
1
|
||||
2
|
||||
4
|
||||
1
|
||||
0
|
||||
0
|
||||
0
|
||||
2
|
||||
2
|
||||
3
|
||||
4
|
||||
2
|
||||
0
|
||||
4
|
||||
0
|
||||
2
|
||||
6
|
||||
6
|
||||
3
|
||||
6
|
||||
4
|
||||
3
|
||||
9
|
||||
12
|
||||
105
|
||||
48
|
||||
276
|
||||
107
|
||||
98
|
||||
80
|
||||
90
|
||||
50
|
||||
62
|
||||
94
|
||||
898
|
||||
443
|
||||
680
|
||||
1392
|
||||
1181
|
|
@ -0,0 +1,61 @@
|
|||
Chihuahua
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
0
|
||||
2
|
||||
8
|
||||
5
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
0
|
||||
0
|
||||
1
|
||||
0
|
||||
0
|
||||
1
|
||||
1
|
||||
1
|
||||
0
|
||||
1
|
||||
1
|
||||
5
|
||||
7
|
||||
6
|
||||
6
|
||||
3
|
||||
5
|
||||
7
|
||||
15
|
||||
7
|
||||
5
|
||||
11
|
||||
20
|
||||
26
|
||||
40
|
||||
91
|
||||
117
|
||||
112
|
||||
104
|
||||
141
|
||||
163
|
||||
144
|
||||
183
|
||||
287
|
||||
354
|
||||
340
|
||||
23
|
||||
39
|
||||
66
|
||||
66
|
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