Turismo
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16 datasets · 97 recursos · 0.4 MB · 4 años de cobertura Frescura: 3 datasets sin tocar desde 2018-2019
Fuente: catálogo DCAT del portal.
Inventario
Distribución por formato
| Formato | Cantidad |
|---|---|
| csv | 65 |
| api | 28 |
| geojson | 2 |
| shape | 2 |
Distribución por año de última modificación
| Año | Datasets |
|---|---|
| 2025 | 12 |
| 2022 | 1 |
| 2019 | 2 |
| 2018 | 1 |
Datasets más grandes (por volumen)
| Dataset | Recursos | Tamaño total |
|---|---|---|
| Gastronomía | 7 | 0.12 MB |
| Inmobiliarias | 3 | 0.08 MB |
| Hotelería | 7 | 0.07 MB |
| Playas | 7 | 0.04 MB |
| Ocupación Hotelera | 18 | 0.02 MB |
| Actividades Recreativas | 5 | 0.02 MB |
| Agencias de Viaje | 5 | 0.02 MB |
| Balnearios | 1 | 0.02 MB |
| Procedencia de turistas | 18 | 0.01 MB |
| Gasto Turístico | 4 | 0.01 MB |
Lista completa de datasets
Cada dataset descargado vive en turismo/<dataset-slug>/ dentro del mirror local.
| Dataset | Modificado | Recursos | Formatos |
|---|---|---|---|
| Procedencia de turistas | 2025-05-26 | 18 | csv |
| Arribo de Turistas por Medio de Transporte | 2025-05-26 | 12 | csv |
| Turismo en Fines de Semana Largo | 2025-05-26 | 1 | csv |
| Ocupación Hotelera | 2025-08-20 | 18 | csv |
| Balnearios | 2025-02-12 | 1 | csv |
| Actividades Recreativas | 2025-02-12 | 5 | api, csv |
| Gastronomía | 2025-02-12 | 7 | api, csv |
| Agencias de Viaje | 2025-02-12 | 5 | api, csv |
| Turismo Estable / Estadía Promedio | 2025-05-26 | 3 | csv |
| Arribos de Turistas | 2025-05-26 | 1 | csv |
| Inmobiliarias | 2025-02-12 | 3 | api, csv |
| Hotelería | 2025-02-12 | 7 | api, csv |
| Gasto Turístico | 2022-11-11 | 4 | csv |
| Centros de Información Turística | 2019-12-10 | 3 | csv, geojson, shape |
| Playas | 2019-12-10 | 7 | api, csv, geojson, shape |
| Congresos | 2018-07-04 | 2 | api |
Lectura inicial
Este tema concentra 16 datasets (3.6% del catálogo). De ellos, 3 (19%) están congelados desde 2018-2019.
El formato predominante es csv (67% de los recursos). CSV permite análisis directo sin pre-procesamiento.
Cobertura temporal del tema: 2018-07 (dataset más antiguo modificado) hasta 2025-08 (más reciente).
Para profundizar
Esta página es inventario inicial. Análisis profundo de cada dataset individual queda pendiente — el dataset queryable está descargado localmente para futura exploración.
Análisis profundo de los CSVs
Inspección automática de 64 archivos CSV del tema. Para cada uno: encoding, delimitador, columnas, tasa de nulls y valores distintos por columna.
Actividades Recreativas
recreacion_0.csv (0.02 MB · 33 cols · 140 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| cod_lugar | 0.0% | 50+ |
| descripcion | 0.0% | 50+ |
| observacion | 100.0% | 0 |
| Categoria | 0.0% | 20 |
| fecha_modif, | 0.0% | 25 |
| Calle/Ruta, | 5.0% | 50+ |
| e-mail, | 50.0% | 50+ |
| Coordenadas Google M, | 9.3% | 50+ |
| Número/Km., | 40.0% | 50+ |
| Teléfono 1, | 15.0% | 50+ |
| Zona | 30.7% | 26 |
| Pesca Recreativa (*) | 100.0% | 0 |
| Deportes de Aventura (*) | 100.0% | 0 |
| Casinos y Bingos (*) | 100.0% | 0 |
| Recreación para niños (*) | 100.0% | 0 |
| Ferias y Mercados (*) | 99.3% | 1 → Ferias y Mercados |
| Parques Temáticos (*) | 100.0% | 0 |
| Establecimientos para pasar el día (*) | 100.0% | 0 |
| Emprendimientos productivos (*) | 100.0% | 0 |
| Paseos Aéreos (*) | 100.0% | 0 |
| Excursiones marítimas (*) | 100.0% | 0 |
| Alquiler de bicicletas y motos (*) | 100.0% | 0 |
| Circuitos de kartings y cuatriciclos (*) | 100.0% | 0 |
| Caminatas y Actividades Físicas (*) | 99.3% | 1 → Caminatas y Actividades F |
| Bowlings (*) | 100.0% | 0 |
| Circuitos Guiados (*) | 98.6% | 1 → Circuitos Guiados |
| Miradores (*) | 100.0% | 0 |
| Museos y Centros Culturales (*) | 100.0% | 0 |
| Reservas Ecológicas (*) | 100.0% | 0 |
| Turismo Religioso (*) | 100.0% | 0 |
| Guías de Turismo (*) | 100.0% | 0 |
| Cabalgatas (*) | 100.0% | 0 |
| Categorias Adicionales | 97.9% | 3 → Caminatas y Actividades F, Circuitos Guiados, Ferias y Mercados |
cod_lugar;descripcion;observacion;Categoria;fecha_modif, ...
24713;Raptor;;Pesca Recreativa ;15/01/2025 ...
56758;ABC Sandokan;;Pesca Recreativa ;15/01/2025 ...
Agencias de Viaje
agencias_0.csv (0.02 MB · 17 cols · 149 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| cod_lugar | 0.0% | 50+ |
| descripcion | 0.0% | 50+ |
| observacion | 100.0% | 0 |
| Categoria | 0.0% | 5 → Agencia Sin Fines de Lucr, Agencia de Pasajes, Agencia de Turismo, Empresa Viajes y Tu |
| fecha_modif, | 0.0% | 16 |
| Calle/Ruta, | 5.4% | 47 |
| Coordenadas Google M, | 16.1% | 50+ |
| Número/Km., | 17.4% | 50+ |
| Teléfono 1, | 31.5% | 50+ |
| Zona | 22.1% | 14 |
| Agencia de Turismo (*) | 100.0% | 0 |
| Agencia Sin Fines de Lucro (*) | 100.0% | 0 |
| Empresa Viajes y Turismo (*) | 98.0% | 1 → Empresa Viajes y Turismo |
| Agencia de Pasajes (*) | 99.3% | 1 → Agencia de Pasajes |
| Operadores de Turismo Estudiantil (*) | 96.6% | 1 → Operadores de Turismo Est |
| Operadores Receptivos (*) | 86.6% | 1 → Operadores Receptivos |
| Categorias Adicionales | 80.5% | 4 → Agencia de Pasajes, Empresa Viajes y Turismo, Operadores Receptivos, Operadores de Tur |
cod_lugar;descripcion;observacion;Categoria;fecha_modif, ...
10624;Dynamic Viajes;;Agencia de Turismo;13/05/2024 ...
21784;Ha Viajes/ Aerolineas Argentin;;Agencia de Turismo;25/05/2024 ...
Arribo de Turistas por Medio de Transporte
Arribo-de-Turistas-por-Medio-de-Transporte-2019.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 10.987, 11.470, 11.472, 11.781, 12.292, 12.432 |
| TREN | 0.0% | 12 → 11.030, 11.533, 12.304, 14.346, 15.585, 16.319 |
| OMNIBUS | 0.0% | 12 → 132.175, 208.442, 240.344, 42.806, 44.252, 51.760 |
| AUTO | 0.0% | 12 → 300.077, 318.933, 391.833, 413.274, 450.913, 453.359 |
Mes;AVION;TREN;OMNIBUS;AUTO
Enero;30.333;34.971;240.344;984.628
Febrero;24.292;31.427;208.442;836.239
Arribo-de-Turistas-por-Medio-de-Transporte-2020.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 5 → -, 19.390, 2.333, 24.661, 6.725 |
| TREN | 0.0% | 5 → -, 20.753, 21.887, 35.190, 35.648 |
| OMNIBUS | 0.0% | 5 → -, 21.997, 242.596, 262.566, 69.788 |
| AUTO | 0.0% | 5 → -, 1.060.995, 307.636, 540.999, 966.179 |
Mes;AVION;TREN;OMNIBUS;AUTO
Enero;24.661;35.648;262.566;1.060.995
Febrero;19.390;35.190;242.596;966.179
Arribo-de-Turistas-por-Medio-de-Transporte-2021.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 2.050, 2.195, 2.317, 2.382, 3.013, 3.124 |
| TREN | 0.0% | 12 → 12.235, 22.136, 25.381, 30.240, 30.983, 33.353 |
| OMNIBUS | 0.0% | 12 → 14.483, 14.694, 15.518, 20.658, 34.889, 35.490 |
| AUTO | 0.0% | 12 → 171.620, 210.998, 340.691, 401.106, 430.745, 433.651 |
Mes;AVION;TREN;OMNIBUS;AUTO
Enero;6.554;34.157;47.725;746.343
Febrero;5.390;42.680;46.454;716.275
Arribo-de-Turistas-por-Medio-de-Transporte-2022.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 11.478, 12.566, 13.437, 14.275, 16.841, 18.088 |
| TREN | 0.0% | 12 → 13.605, 16.165, 20.116, 21.787, 33.566, 34.286 |
| OMNIBUS | 0.0% | 12 → 173.817, 199.860, 31.224, 36.800, 37.787, 39.952 |
| AUTO | 0.0% | 12 → 1.047.271, 380.325, 382.356, 482.735, 491.315, 507.763 |
Mes;AVION;TREN;OMNIBUS;AUTO
Enero;18.088;62.513;199.860;1.047.271
Febrero;16.841;53.375;173.817;971.059
Arribo-de-Turistas-por-Medio-de-Transporte-2023.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 13.253, 14.247, 14.259, 14.861, 15.450, 20.264 |
| TREN | 0.0% | 12 → 17.905, 19.458, 20.421, 21.195, 21.226, 21.524 |
| OMNIBUS | 0.0% | 12 → 197.286, 239.656, 41.916, 45.022, 45.426, 52.102 |
| AUTO | 0.0% | 12 → 1.174.411, 400.997, 435.102, 476.487, 499.153, 537.042 |
Mes;AVION;TREN;OMNIBUS;AUTO
Enero;20.264;60.255;239.656;1.174.411
Febrero;14.861;54.848;197.286;982.474
Arribo-de-Turistas-por-Medio-de-Transporte-2024.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 11.028, 13.040, 15.134, 20.250, 23.556, 5893 |
| TREN | 0.0% | 12 → 15.910, 17.121, 19.640, 20.652, 21.023, 21.124 |
| OMNIBUS | 0.0% | 12 → 158.452, 193.560, 33.530, 34.392, 37.365, 42.492 |
| AUTO | 0.0% | 12 → 1.139.488, 365.697, 398.792, 427.218, 432.134, 467.215 |
Mes;AVION;TREN;OMNIBUS;AUTO
Enero;23.556;44.818;193.560;1.139.488
Febrero;20.250;42.200;158.452;920.110
arribos-medio-transporte-2013.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 4,609, 4,814, 5,008, 5,010, 5,020, 5,251 |
| TREN | 0.0% | 11 → 2,300, 2,301, 2,587, 2,789, 22,035, 3,350 |
| OMNIBUS | 0.0% | 12 → 102,780, 122,470, 150,029, 262,340, 293,160, 62,941 |
| AUTO | 0.0% | 12 → 1,080,070, 355,354, 378,442, 406,060, 424,670, 428,972 |
Mes,AVION,TREN,OMNIBUS,AUTO
Enero,9,720,22,035,293,160,1,080,070
Febrero,7,470,9,907,262,340,897,519
arribos-medio-transporte-2014.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 10,145, 3,634, 3,735, 3,832, 4,664, 4,789 |
| TREN | 0.0% | 12 → 2,500, 2,653, 2,790, 3,086, 3,539, 3,581 |
| OMNIBUS | 0.0% | 12 → 111,547, 147,557, 254,644, 306,098, 59,954, 65,137 |
| AUTO | 0.0% | 12 → 1,100,517, 313,805, 349,550, 428,195, 437,183, 453,851 |
Mes,AVION,TREN,OMNIBUS,AUTO
Enero,10,145,5,790,306,098,1,100,517
Febrero,8,206,4,000,254,644,888,967
arribos-medio-transporte-2015.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 10,091, 10,581, 12,312, 13,494, 4,191, 5,170 |
| TREN | 0.0% | 9 → 0, 12,122, 20,180, 23,989, 5,603, 5,828 |
| OMNIBUS | 0.0% | 12 → 118,525, 138,314, 248,612, 292,370, 51,398, 66,430 |
| AUTO | 0.0% | 12 → 1,142,611, 317,319, 382,170, 445,269, 478,369, 500,619 |
Mes,AVION,TREN,OMNIBUS,AUTO
Enero,13,494,23,989,292,370,1,142,611
Febrero,10,581,20,180,248,612,949,926
arribos-medio-transporte-2016.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 13,907, 14,122, 18,861, 4,564, 4,960, 5,511 |
| TREN | 8.3% | 1 → 0 |
| OMNIBUS | 0.0% | 12 → 101,653, 110,784, 138,592, 255,268, 280,644, 57,005 |
| AUTO | 0.0% | 12 → 1,082,391, 332,316, 334,545, 417,026, 428,762, 435,066 |
Mes,AVION,TREN,OMNIBUS,AUTO
Enero,18,861,0,280,644,1,082,391
Febrero,14,122,0,255,268,948,980
arribos-medio-transporte-2017.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 17,452, 18,670, 23,326, 7,427, 7,652, 8,507 |
| TREN | 0.0% | 7 → 0, 10,097, 13,921, 17,574, 7,710, 9,258 |
| OMNIBUS | 0.0% | 12 → 116,184, 130,051, 228,852, 266,292, 45,830, 58,851 |
| AUTO | 0.0% | 12 → 1,109,453, 330,161, 362,504, 446,257, 454,566, 480,484 |
Mes,AVION,TREN,OMNIBUS,AUTO
Enero,23,326,0,266,292,1,109,453
Febrero,17,452,0,228,852,942,462
arribos-medio-transporte-2018.csv (0.0 MB · 5 cols · 12 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| AVION | 0.0% | 12 → 13,853, 14,784, 15,123, 15,128, 15,294, 15,535 |
| TREN | 0.0% | 12 → 10,062, 14,028, 16,609, 29,746, 31,980, 5,565 |
| OMNIBUS | 0.0% | 12 → 121,314, 127,496, 222,430, 250,718, 42,123, 55,767 |
| AUTO | 0.0% | 12 → 1,064,205, 303,656, 362,561, 384,600, 423,889, 440,093 |
Mes,AVION,TREN,OMNIBUS,AUTO
Enero,33,687,31,980,250,718,1,064,205
Febrero,26,003,29,746,222,430,935,284
Arribos de Turistas
Arribos-Turisticos-por-mes-2007-2024.csv (0.0 MB · 19 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| 2007 | 0.0% | 12 → 1.109.344, 1.422.547, 339.331, 456.298, 462.417, 494.021 |
| 2008 | 0.0% | 12 → 1.171.826, 1.337.838, 350.310, 395.882, 479.169, 479.895 |
| 2009 | 0.0% | 12 → 1.129.601, 1.321.784, 349.472, 470.008, 480.430, 488.394 |
| 2010 | 0.0% | 12 → 1.165.370, 1.411.820, 346.419, 472.310, 477.339, 496.235 |
| 2011 | 0.0% | 12 → 1.115.055, 1.437.571, 391.859, 421.074, 503.080, 539.797 |
| 2012 | 0.0% | 12 → 1.252.839, 1.463.852, 358.101, 431.744, 486.405, 557.958 |
| 2013 | 0.0% | 12 → 1.177.236, 1.404.985, 427.470, 455.668, 499.959, 510.572 |
| 2014 | 0.0% | 12 → 1.155.817, 1.422.550, 380.046, 430.517, 502.246, 525.847 |
| 2015 | 0.0% | 12 → 1.229.299, 1.472.464, 378.736, 471.445, 531.027, 553.591 |
| 2016 | 0.0% | 12 → 1.218.370, 1.381.896, 396.114, 399.218, 502.034, 504.605 |
| 2017 | 0.0% | 12 → 1.188.766, 1.399.071, 383.418, 429.696, 521.684, 540.030 |
| 2018 | 0.0% | 12 → 1.213.463, 1.380.590, 365.197, 452.015, 462.942, 512.411 |
| 2019 | 0.0% | 12 → 1.100.400, 1.290.276, 363.983, 382.066, 466.907, 499.430 |
| 2020 | 0.0% | 6 → 0, 1.263.355, 1.383.870, 406.036, 46.594, 586.082 |
| 2021 | 0.0% | 12 → 186.017, 229.693, 385.535, 449.246, 475.710, 478.739 |
| 2022 | 0.0% | 12 → 1.215.092, 1.327.732, 458.333, 461.380, 546.473, 552.228 |
| 2023 | 0.0% | 12 → 1.249.469, 1.494.586, 476.310, 517.364, 554.885, 603.064 |
| 2024 | 0.0% | 12 → 1.141.012, 1.401.422, 428.225, 467.917, 484.586, 514.017 |
Mes;2007;2008;2009;2010 ...
Enero;1.422.547;1.337.838;1.321.784;1.411.820 ...
Febrero;1.109.344;1.171.826;1.129.601;1.165.370 ...
Balnearios
balnearios_0.csv (0.02 MB · 16 cols · 102 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| cod_lugar | 0.0% | 50+ |
| descripcion | 0.0% | 50+ |
| observacion | 100.0% | 0 |
| Categoria | 0.0% | 4 → Balneario, Boca Náutica, Otros sectores costeros, Playa |
| fecha_modif, | 0.0% | 27 |
| Calle/Ruta, | 1.0% | 8 → Av. Félix U. Camet, Av. de los Trabajadores, Bv. Marítimo Patricio Per, Escollera Sur |
| Coordenadas Google M, | 3.9% | 50+ |
| e-mail, | 35.3% | 50+ |
| Número/Km., | 25.5% | 50+ |
| Teléfono 1, | 35.3% | 50+ |
| Zona | 2.0% | 13 |
| Balneario (*) | 100.0% | 0 |
| Playa (*) | 99.0% | 1 → Playa |
| Otros sectores costeros (*) | 100.0% | 0 |
| Boca Náutica (*) | 95.1% | 1 → Boca Náutica |
| Categorias Adicionales | 94.1% | 2 → Boca Náutica, Playa |
cod_lugar;descripcion;observacion;Categoria;fecha_modif, ...
5004;Punta Mogotes - Balneario 02 -;;Balneario;14/11/2021 ...
5006;La Perla - Balneario 1 - Alfon;;Balneario;01/11/2024 ...
Centros de Información Turística
informacion-turistica.csv (0.0 MB · 6 cols · 4 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| the_geom | 0.0% | 4 → 0101000020E61000000AA924B, 0101000020E61000003AF8D09, 0101000020E61000006B5DDF3, 01010 |
| nombreempleo | 0.0% | 4 → Departamento Asistencia a, ENTE MUNICIPAL DE TURISMO, Stand Informacion Aeropue, Stand |
| telefonoempleo | 75.0% | 1 → 223 494 4140 |
| codcalle | 0.0% | 1 → 0 |
| calle | 0.0% | 4 → Av. Luro y San Juan, Belgrano, Bvard. Maritimo, Ruta 2 - Km 398,5 |
| altura | 50.0% | 2 → 2270, 2740 |
the_geom,nombreempleo,telefonoempleo,codcalle,calle ...
0101000020E6100000DBA8A6605AC6,ENTE MUNICIPAL DE TURISMO - EM,223 494 4140,0,Belgrano ...
0101000020E61000000AA924B8F9C7,Stand Informacion Ferroautomot,,0,Av. Luro y San Juan ...
Gasto Turístico
gasto-con-transporte-2007-2019.csv (0.0 MB · 14 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio | |
| 2007 | 0.0% | 12 → 107.75, 108.76, 110.48, 112.98, 118.28, 121.78 |
| 2008 | 0.0% | 12 → 113.68, 122.67, 134.29, 147.47, 149.23, 149.31 |
| 2009 | 0.0% | 12 → 110.68, 117.53, 126.26, 150.03, 156.65, 158.62 |
| 2010 | 0.0% | 12 → 136.20, 138.41, 159.56, 196.19, 208.42, 211.84 |
| 2011 | 0.0% | 12 → 170.40, 170.93, 205.74, 260.89, 260.98, 266.09 |
| 2012 | 0.0% | 11 → 225.81, 226.50, 260.88, 316.25, 351.51, 358.61 |
| 2013 | 0.0% | 12 → 275.98, 301.40, 343.25, 409.49, 425.74, 447.04 |
| 2014 | 0.0% | 12 → 345.99, 366.61, 423.85, 495.48, 514.72, 517.01 |
| 2015 | 0.0% | 12 → 443.73, 453.69, 501.10, 575.51, 627.70, 652.00 |
| 2016 | 0.0% | 12 → 1106.00, 1109.00, 1143.00, 524.00, 584.00, 736.00 |
| 2017 | 0.0% | 12 → 1018.00, 1105.00, 1161.00, 1164.00, 1192.00, 1203.00 |
| 2018 | 0.0% | 12 → 1015.00, 1163.00, 1210.00, 1280.00, 1326.00, 1456.00 |
| 2019 | 0.0% | 12 → 1127, 1226, 1365, 1542, 1596, 1819 |
;2007;2008;2009;2010 ...
Enero;88.15;96.92;117.53;138.41 ...
Febrero;82.31;97.60;110.68;136.20 ...
gasto-sin-transporte-2009-2019.csv (0.0 MB · 12 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio | |
| 2009 | 0.0% | 12 → 103.74, 109.24, 123.61, 126.49, 128.58, 138.63 |
| 2010 | 0.0% | 12 → 116.94, 118.99, 135.37, 158.58, 168.16, 171.53 |
| 2011 | 0.0% | 12 → 149.10, 150.06, 170.50, 201.52, 211.22, 217.59 |
| 2012 | 0.0% | 12 → 188.22, 193.19, 211.33, 254.89, 274.24, 278.96 |
| 2013 | 0.0% | 12 → 235.20, 257.07, 281.61, 327.17, 334.62, 342.32 |
| 2014 | 0.0% | 12 → 291.89, 303.75, 346.10, 395.88, 398.66, 414.93 |
| 2015 | 0.0% | 12 → 367.00, 382.28, 404.13, 473.81, 476.04, 493.51 |
| 2016 | 0.0% | 11 → 432.00, 481.00, 558.00, 578.00, 590.00, 614.00 |
| 2017 | 0.0% | 12 → 566.00, 597.00, 635.00, 749.00, 767.00, 777.00 |
| 2018 | 0.0% | 11 → 1027.00, 667.00, 709.00, 736.00, 797.00, 843.00 |
| 2019 | 0.0% | 12 → 1008, 1035, 1091, 1146, 1153, 1226 |
;2009;2010;2011;2012 ...
Enero;103.74;118.99;149.10;193.19 ...
Febrero;97.01;116.94;150.06;188.22 ...
giro-estimado-con-transporte-2003-2021_0.csv (0.0 MB · 20 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio | |
| Ano 2003 | 0.0% | 2 → $143,893,402, - |
| Ano 2004 | 0.0% | 12 → $128,315,747, $130,148,931, $187,230,830, $26,299,716, $35,011,507, $353,536,808 |
| Ano 2005 | 0.0% | 12 → $198,485,976, $212,916,392, $32,833,972, $413,923,880, $43,444,064, $56,703,318 |
| Ano 2006 | 0.0% | 12 → $106,489,329, $128,173,761, $132,002,011, $216,227,813, $267,389,247, $45,191,784 |
| Ano 2007 | 0.0% | 12 → $105,863,566, $125,006,023, $134,714,250, $189,440,447, $251,641,567, $341,253,175 |
| Ano 2008 | 0.0% | 12 → $103,161,082, $107,274,449, $163,135,427, $163,472,690, $203,214,775, $330,750,088 |
| Ano 2009 | 0.0% | 12 → $1,055,875,649, $119,265,894, $121,832,445, $140,120,202, $171,437,625, $211,815,879 |
| Ano 2010 | 0.0% | 12 → $1,375,918,027, $111,850,604, $165,115,578, $192,388,471, $217,992,642, $221,966,697 |
| Ano 2011 | 0.0% | 12 → $1,091,938,101, $1,742,978,096, $157,591,746, $161,067,526, $267,922,456, $287,611,12 |
| Ano 2012 | 0.0% | 12 → $1,529,000,697, $170,643,123, $2,202,729,977, $318,058,561, $324,880,280, $350,221,94 |
| Ano 2013 | 0.0% | 12 → $1,210,382,513, $1,908,046,767, $2,420,060,276, $290,328,923, $410,223,450, $422,592, |
| Ano 2014 | 0.0% | 12 → $1,064,031,319, $1,176,508,923, $1,681,465,830, $2,276,154,509, $3,101,273,328, $383, |
| Ano 2015 | 0.0% | 12 → $1,063,438,787, $1,366,095,243, $2,022,709,151, $3,064,181,011, $393,185,708, $4,217, |
| Ano 2016 | 0.0% | 12 → $1,416,999,526, $1,479,002,763, $1,758,225,381, $2,293,792,310, $3,813,825,360, $4,53 |
| ano 2017 | 0.0% | 12 → $1,414,615,146, $1,537,415,215, $1,585,117,966, $1,830,742,089, $2,604,390,855, $5,03 |
| ano 2018 | 0.0% | 12 → $ 1.078.819.965, $ 1.116.147.600, $ 1.512.263.357, $ 1.738.501.927, $ 1.942.590.235, |
| ano 2019 | 0.0% | 12 → $ 1.230.341.810, $ 1.431.170.773, $ 1.461.401.577, $ 1.792.902.688, $ 1.855.461.544, |
| ano 2020 | 75.0% | 3 → $ 13.886.524.121, $ 15.127.895.802, serie interrumpida por la |
| ano 2021 | 91.7% | 1 → sin datos, no se pudo rea |
;Ano 2003;Ano 2004;Ano 2005;Ano 2006 ...
Enero;-;$511,705,164;$666,223,166;$749,987,458 ...
Febrero;-;$353,536,808;$413,923,880;$478,858,177 ...
giro-estimado-sin-transporte-2009-2018.csv (0.0 MB · 11 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| 0.0% | 12 → abril, agosto, diciembre, enero, febrero, julio | |
| Año 2009 | 0.0% | 12 → 110837424, 136237854, 169862987, 194641015, 196177354, 220035878 |
| Año 2010 | 0.0% | 12 → 1182891798, 129603343, 152803113, 173727910, 176196735, 244366788 |
| Año 2011 | 0.0% | 12 → 122950372, 126564047, 1520353331, 206951348, 230845651, 246412497 |
| Año 2012 | 0.0% | 12 → 126302956, 1270575428, 1884791212, 243224929, 250310913, 276148119 |
| Año 2013 | 0.0% | 12 → 1627408968, 2062465629, 221087749, 314989286, 322426222, 324893030 |
| Año 2014 | 0.0% | 12 → 1355472687, 1885873028, 2616347360, 291831399, 308977727, 397853488 |
| Año 2015 | 0.0% | 12 → 1101717047, 1600335314, 2581902631, 294871044, 3488662373, 454572575 |
| Año 2016 | 0.0% | 12 → 1030768374, 1049741646, 1380604811, 1724334503, 3140737806, 316311724 |
| Año 2017 | 0.0% | 12 → 1017539195, 1052829470, 1069502633, 1347471924, 1830951756, 3931464776 |
| Año 2018 | 0.0% | 12 → 1015902082, 1058324559, 1153813483, 1778904450, 1869267690, 487411962 |
,Año 2009,Año 2010,Año 2011,Año 2012 ...
enero,932016848,1182891798,1520353331,1884791212 ...
febrero,577326150,765350810,961638675,1270575428 ...
Gastronomía
gastronomia_0.csv (0.12 MB · 17 cols · 803 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| cod_lugar | 0.0% | 50+ |
| descripcion | 0.0% | 50+ |
| observacion | 100.0% | 0 |
| Categoria | 0.0% | 5 → Cafés - Casas de té - Pas, Cervecerías y Bares, Comercios para celíacos, Heladería, Re |
| fecha_modif, | 0.0% | 50+ |
| Calle/Ruta, | 0.0% | 50+ |
| Coordenadas Google M, | 0.4% | 50+ |
| e-mail, | 28.3% | 50+ |
| Número/Km., | 5.6% | 50+ |
| Teléfono 1, | 10.1% | 50+ |
| Zona | 2.6% | 34 |
| Restaurante (*) | 99.3% | 1 → Restaurante |
| Cafés - Casas de té - Pastelerías (*) | 98.5% | 1 → Cafés - Casas de té - Pas |
| Heladería (*) | 100.0% | 0 |
| Comercios para celíacos (*) | 100.0% | 0 |
| Cervecerías y Bares (*) | 99.6% | 1 → Cervecerías y Bares |
| Categorias Adicionales | 97.4% | 3 → Cafés - Casas de té - Pas, Cervecerías y Bares, Restaurante |
cod_lugar;descripcion;observacion;Categoria;fecha_modif, ...
21925;Mc Donald´s. Sucursal Bv. Marí;;Restaurante;13/06/2022 ...
21935;Etruria;;Restaurante;05/06/2022 ...
Hotelería
alojamiento_0.csv (0.07 MB · 36 cols · 406 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| cod_lugar | 0.0% | 50+ |
| descripcion | 0.0% | 50+ |
| observacion | 100.0% | 0 |
| Categoria | 0.0% | 21 |
| fecha_modif, | 0.0% | 50+ |
| Calle/Ruta, | 0.0% | 50+ |
| Coordenadas Google M, | 0.0% | 50+ |
| e-mail, | 12.3% | 50+ |
| Número/Km., | 5.2% | 50+ |
| Teléfono 1, | 2.7% | 50+ |
| Zona | 0.5% | 27 |
| Hotel Alojamiento (*) | 100.0% | 0 |
| Apart hotel (*) | 99.8% | 1 → Apart hotel |
| Campamento (*) | 99.8% | 1 → Campamento |
| Colonia vacaciones (*) | 100.0% | 0 |
| Country (*) | 100.0% | 0 |
| Hotel 1 estrella (*) | 99.5% | 1 → Hotel 1 estrella |
| Hotel 2 estrellas (*) | 97.8% | 1 → Hotel 2 estrellas |
| Hotel 3 estrellas (*) | 97.8% | 1 → Hotel 3 estrellas |
| Hotel 4 estrellas (*) | 99.8% | 1 → Hotel 4 estrellas |
| Hotel 5 estrellas (*) | 100.0% | 0 |
| Hotel gremial (*) | 97.0% | 1 → Hotel gremial |
| Club de Playa (*) | 100.0% | 0 |
| En Estancias (*) | 100.0% | 0 |
| Hostels (*) | 100.0% | 0 |
| Cabañas (*) | 100.0% | 0 |
| Bed & Breakfast (*) | 100.0% | 0 |
| Hotel Boutique (*) | 100.0% | 0 |
| Refugios (*) | 100.0% | 0 |
| Casas o Deptos. con Servicios (*) | 100.0% | 0 |
| Hotel 2 estrellas superior (*) | 99.8% | 1 → Hotel 2 estrellas superio |
| Hotel 3 estrellas superior (*) | 98.8% | 1 → Hotel 3 estrellas superio |
| Hotel 4 estrellas superior (*) | 100.0% | 0 |
| Hostería (*) | 100.0% | 0 |
| Residencial (*) | 100.0% | 0 |
| Categorias Adicionales | 89.9% | 9 → Apart hotel, Campamento, Hotel 1 estrella, Hotel 2 estrellas, Hotel 2 estrellas superi |
cod_lugar;descripcion;observacion;Categoria;fecha_modif, ...
2001;Abruzzese;;Hotel 1 estrella;18/12/2024 ...
2008;Adriático (CEC Lomas de Zamora;;Hotel 3 estrellas;27/02/2024 ...
Inmobiliarias
inmobiliarias_0.csv (0.08 MB · 12 cols · 575 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| cod_lugar | 0.0% | 50+ |
| descripcion | 0.0% | 50+ |
| observacion | 100.0% | 0 |
| Categoria | 0.0% | 2 → Inmobiliaria, Tarifas |
| fecha_modif, | 0.0% | 33 |
| Calle/Ruta, | 3.5% | 50+ |
| Número/Km., | 6.6% | 50+ |
| Teléfono 1, | 10.1% | 50+ |
| Coordenadas Google M | 4.0% | 50+ |
| Inmobiliaria (*) | 100.0% | 0 |
| Tarifas (*) | 100.0% | 0 |
| Categorias Adicionales | 100.0% | 0 |
cod_lugar;descripcion;observacion;Categoria;fecha_modif, ...
14147;Gustavo Ferdmann Inmobiliaria ;;Inmobiliaria ;30/09/2024 ...
14162;Valencia Consultores Inmobilia;;Inmobiliaria ;10/11/2021 ...
Ocupación Hotelera
2019-ocup-hotelera.csv (0.0 MB · 13 cols · 13 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoria | 0.0% | 13 |
| enero | 0.0% | 13 |
| febrero | 0.0% | 13 |
| marzo | 0.0% | 13 |
| abril | 0.0% | 13 |
| mayo | 0.0% | 13 |
| junio | 0.0% | 13 |
| julio | 0.0% | 13 |
| agosto | 0.0% | 13 |
| septiembre | 0.0% | 13 |
| octubre | 0.0% | 13 |
| noviembre | 0.0% | 13 |
| diciembre | 0.0% | 13 |
Categoria;enero;febrero;marzo;abril ...
5 estrellas;67,15%;56,15%;56,20%;47,45% ...
4 estrellas;72,83%;75,54%;54,85%;42,80% ...
2020-ocup-hotelera.csv (0.0 MB · 13 cols · 15 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoria | 13.3% | 13 |
| Enero | 13.3% | 12 → 1.136.072, 1.568.071, 50.583, 60,1%, 64,8%, 71,8% |
| Febrero | 13.3% | 12 → 1.005.013, 1.491.644, 46,6%, 51.436, 56,8%, 58,0% |
| Marzo | 13.3% | 13 |
| Abril | 13.3% | 1 → - |
| Mayo | 13.3% | 1 → - |
| Junio | 13.3% | 1 → - |
| Julio | 13.3% | 1 → - |
| Agosto | 13.3% | 1 → - |
| Septiembre | 13.3% | 1 → - |
| Octubre | 13.3% | 1 → - |
| Noviembre | 13.3% | 1 → - |
| Diciembre | 13.3% | 12 → 10,6%, 126.026, 14,5%, 15,1%, 15,9%, 17,1% |
Categoria;Enero;Febrero;Marzo;Abril ...
5 estrellas;76,8%;58,0%;35,6%;- ...
4 estrellas;76,8%;70,7%;39,6%;- ...
2021-ocup-hotelera_0.csv (0.0 MB · 13 cols · 13 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoria | 0.0% | 13 |
| Enero | 0.0% | 13 |
| Febrero | 0.0% | 13 |
| Marzo | 0.0% | 13 |
| Abril | 0.0% | 13 |
| Mayo | 0.0% | 13 |
| Junio | 0.0% | 13 |
| Julio | 0.0% | 13 |
| Agosto | 0.0% | 13 |
| Septiembre | 0.0% | 13 |
| Octubre | 0.0% | 13 |
| Noviembre | 0.0% | 13 |
| Diciembre | 0.0% | 13 |
Categoria;Enero;Febrero;Marzo;Abril ...
5 estrellas;44,40%;49,60%;35,20%;19,00% ...
4 estrellas;24,70%;42,60%;33,40%;19,80% ...
2022-ocup-hotelera.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| Enero | 0.0% | 13 |
| Febrero | 0.0% | 13 |
| Marzo | 0.0% | 13 |
| Abril | 0.0% | 13 |
| Mayo | 0.0% | 13 |
| Junio | 0.0% | 13 |
| Julio | 0.0% | 13 |
| Agosto | 0.0% | 13 |
| Septiembre | 0.0% | 13 |
| Octubre | 0.0% | 13 |
| Noviembre | 0.0% | 13 |
| Diciembre | 0.0% | 13 |
Categoría;Enero;Febrero;Marzo;Abril ...
5 estrellas;82,69%;77,36%;58,54%;44,00% ...
4 estrellas;71,13%;73,18%;52,55%;36,49% ...
2023-ocup-hotelera.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| Enero | 0.0% | 13 |
| Febrero | 0.0% | 13 |
| Marzo | 0.0% | 13 |
| Abril | 0.0% | 13 |
| Mayo | 0.0% | 13 |
| Junio | 0.0% | 13 |
| Julio | 0.0% | 13 |
| Agosto | 0.0% | 13 |
| Septiembre | 0.0% | 13 |
| Octubre | 0.0% | 13 |
| Noviembre | 0.0% | 13 |
| Diciembre | 0.0% | 13 |
Categoría;Enero;Febrero;Marzo;Abril ...
5 estrellas;78,96%;60,04%;51,55%;42,50% ...
4 estrellas;74,86%;63,48%;40,94%;39,53% ...
2024-ocup-hotelera.csv (0.0 MB · 13 cols · 11 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 11 → 1 estrella, 2 estrellas, 3 estrellas, 4 estrellas, 5 estrellas, Apart Hotel |
| Enero | 0.0% | 11 → 49.591, 58,70%, 64,20%, 65,20%, 65,70%, 66,30% |
| Febrero | 0.0% | 11 → 41,70%, 44,20%, 48,60%, 49.720, 53,90%, 54,40% |
| Marzo | 0.0% | 11 → 29,70%, 30,60%, 36,40%, 37,50%, 40,00%, 41.649 |
| Abril | 0.0% | 11 → 16,30%, 20,10%, 21,70%, 24,80%, 30,10%, 31,60% |
| Mayo | 0.0% | 11 → 10,10%, 10,40%, 20,41%, 21,40%, 23,10%, 24,20% |
| Junio | 0.0% | 11 → 15,20%, 15,70%, 16,50%, 18,70%, 21,10%, 24,30% |
| Julio | 0.0% | 11 → 17,30%, 17,90%, 19,50%, 24,50%, 25,10%, 28,20% |
| Agosto | 0.0% | 11 → 10,30%, 10,50%, 14,40%, 17,40%, 18,10%, 19,90% |
| Septiembre | 0.0% | 11 → 12,10%, 15,60%, 16,80%, 21,20%, 24,60%, 27,50% |
| Octubre | 0.0% | 11 → 21,30%, 22,30%, 30,20%, 33.881, 35,14%, 35,40% |
| Noviembre | 0.0% | 11 → 23,70%, 24,00%, 35.568, 42,00%, 42,50%, 43,20% |
| Diciembre | 0.0% | 11 → 17,90%, 20,90%, 28,40%, 32,40%, 35,82%, 37.807 |
Categoría;Enero;Febrero;Marzo;Abril ...
5 estrellas;67,80%;44,20%;49,20%;34,40% ...
4 estrellas;65,70%;53,90%;40,00%;35,30% ...
ocupacion-hotelera-2007.csv (0.0 MB · 13 cols · 11 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 11 → 1 estrella, 2 estrellas, 3 estrellas, 4 estrellas, 5 estrellas, Apart Hotel |
| Enero | 0.0% | 11 → 1,498,598, 1,758,134, 56,714, 57.00%, 82.82%, 84.70% |
| Febrero | 0.0% | 11 → 1,248,092, 1,587,992, 56,714, 68.92%, 69.56%, 74.66% |
| Marzo | 0.0% | 11 → 1,576,815, 32.16%, 40.88%, 49.58%, 50,865, 52.95% |
| Abril | 0.0% | 11 → 1,198,511, 25.15%, 30.75%, 35.94%, 38.32%, 39,950 |
| Mayo | 0.0% | 11 → 14.48%, 17.40%, 20.41%, 21.90%, 214,387, 22.41% |
| Junio | 0.0% | 11 → 1,023,330, 10.64%, 12.00%, 12.86%, 16.46%, 16.71% |
| Julio | 0.0% | 11 → 1,131,314, 16.87%, 23.70%, 26.74%, 27.13%, 27.39% |
| Agosto | 0.0% | 11 → 1,190,245, 14.51%, 20.76%, 24.82%, 25.68%, 27.36% |
| Septiembre | 0.0% | 11 → 1,130,730, 18.46%, 20.98%, 25.87%, 26.25%, 27.10% |
| Octubre | 0.0% | 11 → 1,247,114, 29.06%, 32.36%, 40,229, 40.23%, 40.41% |
| Noviembre | 0.0% | 11 → 1,352,430, 22.68%, 37.74%, 38.13%, 39.22%, 43.14% |
| Diciembre | 0.0% | 11 → 1,563,562, 26.73%, 37.51%, 44.68%, 50,437, 51.97% |
Categoría,Enero,Febrero,Marzo,Abril ...
5 estrellas,87.77%,68.92%,66.08%,74.08% ...
4 estrellas,86.81%,82.27%,70.99%,49.81% ...
ocupacion-hotelera-2008.csv (0.0 MB · 13 cols · 11 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 11 → 1 estrella, 2 estrellas, 3 estrellas, 4 estrellas, 5 estrellas, Apart Hotel |
| Enero | 0.0% | 11 → 1,408,870, 1,759,839, 56,769, 75.25%, 75.97%, 77.36% |
| Febrero | 0.0% | 11 → 1,180,238, 1,646,301, 56,769, 61.62%, 64.06%, 68.12% |
| Marzo | 0.0% | 11 → 1,675,094, 32.93%, 38.72%, 50.77%, 52.59%, 54,035 |
| Abril | 0.0% | 11 → 1,422,430, 11.16%, 19.26%, 20.90%, 23.02%, 26.54% |
| Mayo | 0.0% | 11 → 1,173,989, 14.50%, 18.07%, 18.78%, 18.84%, 21.78% |
| Junio | 0.0% | 11 → 1,098,908, 13.93%, 15.72%, 15.83%, 16.19%, 172,717 |
| Julio | 0.0% | 11 → 1,190,769, 14.02%, 19.81%, 20.49%, 20.98%, 21.13% |
| Agosto | 0.0% | 11 → 1,278,792, 18.22%, 28.35%, 29.24%, 29.53%, 29.54% |
| Septiembre | 0.0% | 11 → 1,200,994, 20.67%, 22.60%, 24.13%, 27.46%, 289,765 |
| Octubre | 0.0% | 11 → 1,276,483, 17.51%, 27.41%, 29.63%, 32.58%, 38.26% |
| Noviembre | 0.0% | 11 → 1,468,082, 36.94%, 44.58%, 45.81%, 48,936, 48.70% |
| Diciembre | 0.0% | 11 → 1,553,844, 22.76%, 39.25%, 40.43%, 40.65%, 47.20% |
Categoría,Enero,Febrero,Marzo,Abril ...
5 estrellas,83.49%,68.12%,65.46%,54.55% ...
4 estrellas,84.67%,75.99%,61.95%,41.17% ...
ocupacion-hotelera-2009.csv (0.0 MB · 13 cols · 11 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 11 → 1 estrella, 2 estrellas, 3 estrellas, 4 estrellas, 5 estrellas, Apart Hotel |
| Enero | 0.0% | 11 → 1,284,347, 1,772,518, 57,178, 64.14%, 65.80%, 69.36% |
| Febrero | 0.0% | 11 → 1,053,272, 1,600,984, 52.32%, 57,178, 57.53%, 61.91% |
| Marzo | 0.0% | 11 → 1,559,331, 18.18%, 26.48%, 39.32%, 41.32%, 50,301 |
| Abril | 0.0% | 11 → 1,413,780, 19.45%, 23.69%, 30.43%, 33.92%, 34.54% |
| Mayo | 0.0% | 11 → 1,211,294, 14.46%, 17.19%, 22.98%, 23.12%, 24.82% |
| Junio | 0.0% | 11 → 1,122,540, 11.98%, 14.23%, 15.50%, 16.11%, 16.97% |
| Julio | 0.0% | 11 → 1,140,924, 13.52%, 15.21%, 15.75%, 16.76%, 17.24% |
| Agosto | 0.0% | 11 → 1,198,150, 13.73%, 15.45%, 19.07%, 19.70%, 20.50% |
| Septiembre | 0.0% | 11 → 1,254,450, 15.15%, 18.89%, 24.20%, 25.64%, 29.95% |
| Octubre | 0.0% | 11 → 1,322,367, 24.47%, 31.81%, 36.83%, 38.59%, 39.56% |
| Noviembre | 0.0% | 11 → 1,352,891, 29.27%, 41.46%, 45,096, 45.29%, 46.30% |
| Diciembre | 0.0% | 11 → 1,574,769, 21.78%, 31.41%, 36.09%, 40.09%, 42.21% |
Categoría,Enero,Febrero,Marzo,Abril ...
5 estrellas,74.47%,67.61%,62.87%,57.92% ...
4 estrellas,77.06%,69.52%,56.55%,47.20% ...
ocupacion-hotelera-2010.csv (0.0 MB · 13 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 12 → 1 estrella, 2 estrellas, 3 estrellas, 4 estrellas, 5 estrellas, Apart Hotel |
| Enero | 0.0% | 12 → 1,426,443, 1,787,088, 57,648, 74.86%, 75.02%, 76.72% |
| Febrero | 0.0% | 12 → 1,173,829, 1,614,144, 54.39%, 57,648, 61.63%, 65.88% |
| Marzo | 0.0% | 12 → 1,588,161, 23.92%, 31.36%, 32.29%, 43.38%, 46.11% |
| Abril | 0.0% | 12 → 1,279,500, 21.59%, 25.14%, 27.20%, 31.25%, 31.28% |
| Mayo | 0.0% | 12 → 1,269,450, 14.87%, 18.90%, 22.01%, 23.08%, 24.48% |
| Junio | 0.0% | 12 → 1,228,440, 12.85%, 13.75%, 14.12%, 15.89%, 168,928 |
| Julio | 0.0% | 12 → 1,324,041, 14.69%, 16.72%, 22.21%, 22.65%, 23.85% |
| Agosto | 0.0% | 12 → 1,327,606, 13.60%, 18.27%, 18.63%, 19.50%, 20.82% |
| Septiembre | 0.0% | 12 → 1,272,450, 15.65%, 16.96%, 21.84%, 22.65%, 27.81% |
| Octubre | 0.0% | 12 → 1,343,602, 28.61%, 31.70%, 38.50%, 42.27%, 43,342 |
| Noviembre | 0.0% | 12 → 1,350,210, 24.16%, 29.61%, 41.58%, 45,007, 45.44% |
| Diciembre | 0.0% | 12 → 1,514,505, 16.48%, 34.67%, 34.78%, 36.48%, 39.81% |
Categoría,Enero,Febrero,Marzo,Abril ...
5 estrellas,87.49%,66.32%,64.86%,53.21% ...
4 estrellas,83.20%,79.01%,56.15%,44.55% ...
ocupacion-hotelera-2011.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| Enero | 0.0% | 13 |
| Febrero | 0.0% | 13 |
| Marzo | 0.0% | 13 |
| Abril | 0.0% | 13 |
| Mayo | 0.0% | 13 |
| Junio | 0.0% | 13 |
| Julio | 0.0% | 13 |
| Agosto | 0.0% | 13 |
| Septiembre | 0.0% | 13 |
| Octubre | 0.0% | 13 |
| Noviembre | 0.0% | 13 |
| Diciembre | 0.0% | 13 |
Categoría,Enero,Febrero,Marzo,Abril ...
5 estrellas,89.79%,73.36%,56.38%,46.95% ...
4 estrellas,84.09%,78.74%,66.27%,36.75% ...
ocupacion-hotelera-2012.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| Enero | 0.0% | 13 |
| Febrero | 0.0% | 13 |
| Marzo | 0.0% | 13 |
| Abril | 0.0% | 13 |
| Mayo | 0.0% | 13 |
| Junio | 0.0% | 13 |
| Julio | 0.0% | 13 |
| Agosto | 0.0% | 13 |
| Septiembre | 0.0% | 13 |
| Octubre | 0.0% | 13 |
| Noviembre | 0.0% | 13 |
| Diciembre | 0.0% | 13 |
Categoría,Enero,Febrero,Marzo,Abril ...
5 estrellas,71.92%,69.29%,63.46%,61.23% ...
4 estrellas,83.21%,77.46%,57.39%,50.72% ...
ocupacion-hotelera-2013.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| enero | 0.0% | 13 |
| febrero | 0.0% | 13 |
| marzo | 0.0% | 13 |
| abril | 0.0% | 13 |
| mayo | 0.0% | 13 |
| junio | 0.0% | 13 |
| julio | 0.0% | 13 |
| agosto | 0.0% | 13 |
| septiembre | 0.0% | 13 |
| octubre | 0.0% | 13 |
| noviembre | 0.0% | 13 |
| diciembre | 0.0% | 12 → 1,474,081, 15.87%, 27.73%, 38.74%, 40.93%, 44.16% |
Categoría,enero,febrero,marzo,abril ...
5 estrellas,66.79%,61.59%,57.51%,60.87% ...
4 estrellas,76.30%,72.01%,62.62%,35.75% ...
ocupacion-hotelera-2014.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| enero | 0.0% | 13 |
| febrero | 0.0% | 13 |
| marzo | 0.0% | 13 |
| abril | 0.0% | 13 |
| mayo | 0.0% | 13 |
| junio | 0.0% | 13 |
| julio | 0.0% | 13 |
| agosto | 0.0% | 13 |
| septiembre | 0.0% | 13 |
| octubre | 0.0% | 13 |
| noviembre | 0.0% | 12 → 1,371,720, 17.86%, 38.18%, 45,724, 46.64%, 46.88% |
| diciembre | 0.0% | 13 |
Categoría,enero,febrero,marzo,abril ...
5 estrellas,77.89%,60.14%,58.20%,55.72% ...
4 estrellas,83.21%,81.41%,61.56%,34.60% ...
ocupacion-hotelera-2015.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| enero | 0.0% | 13 |
| febrero | 0.0% | 13 |
| marzo | 0.0% | 13 |
| abril | 0.0% | 13 |
| mayo | 0.0% | 13 |
| junio | 0.0% | 13 |
| julio | 0.0% | 13 |
| agosto | 0.0% | 13 |
| septiembre | 0.0% | 13 |
| octubre | 0.0% | 13 |
| noviembre | 0.0% | 13 |
| diciembre | 0.0% | 13 |
Categoría,enero,febrero,marzo,abril ...
5 estrellas,81.86%,64.83%,56.36%,64.98% ...
4 estrellas,86.94%,84.87%,69.30%,48.86% ...
ocupacion-hotelera-2016.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| enero | 0.0% | 13 |
| febrero | 0.0% | 13 |
| marzo | 0.0% | 13 |
| abril | 0.0% | 13 |
| mayo | 0.0% | 13 |
| junio | 0.0% | 13 |
| julio | 0.0% | 13 |
| agosto | 0.0% | 13 |
| septiembre | 0.0% | 13 |
| octubre | 0.0% | 13 |
| noviembre | 0.0% | 13 |
| diciembre | 0.0% | 13 |
Categoría,enero,febrero,marzo,abril ...
5 estrellas,77.22%,54.77%,65.24%,49.54% ...
4 estrellas,80.40%,80.68%,66.81%,39.56% ...
ocupacion-hotelera-2017.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| enero | 0.0% | 13 |
| febrero | 0.0% | 13 |
| marzo | 0.0% | 13 |
| abril | 0.0% | 13 |
| mayo | 0.0% | 12 → 1,064,194, 11.87%, 16.85%, 179,299, 20.43%, 23.89% |
| junio | 0.0% | 13 |
| julio | 0.0% | 13 |
| agosto | 0.0% | 13 |
| septiembre | 0.0% | 13 |
| octubre | 0.0% | 13 |
| noviembre | 0.0% | 13 |
| diciembre | 0.0% | 13 |
Categoría,enero,febrero,marzo,abril ...
5 estrellas,72.97%,54.71%,49.71%,54.06% ...
4 estrellas,73.00%,75.74%,55.55%,44.51% ...
ocupacion-hotelera-2018.csv (0.0 MB · 13 cols · 13 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Categoría | 0.0% | 13 |
| enero | 0.0% | 13 |
| febrero | 0.0% | 13 |
| marzo | 0.0% | 12 → 1,361,334, 28.00%, 29.40%, 42.40%, 42.70%, 43,914 |
| abril | 0.0% | 13 |
| mayo | 0.0% | 13 |
| junio | 0.0% | 13 |
| julio | 0.0% | 13 |
| agosto | 0.0% | 13 |
| septiembre | 0.0% | 13 |
| octubre | 0.0% | 13 |
| noviembre | 0.0% | 13 |
| diciembre | 0.0% | 13 |
Categoría,enero,febrero,marzo,abril ...
5 estrellas,77.10%,66.90%,50.20%,44.80% ...
4 estrellas,74.30%,75.20%,54.40%,43.40% ...
Playas
playas.csv (0.01 MB · 7 cols · 107 filas · enc=utf-8 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| id | 0.0% | 50+ |
| descripcion | 0.0% | 50+ |
| c_calle | 0.0% | 23 |
| calle | 0.0% | 23 |
| altura | 0.0% | 50+ |
| latitud | 0.0% | 50+ |
| longitud | 0.0% | 50+ |
id,descripcion,c_calle,calle,altura ...
240,PLAYAS DEL BARCO,735,JUAN MARIANI,0 ...
241,PUNTA CANTERA I (SEA VIEW),742,AVENIDA MIGUEL A. MARTINEZ DE ,3800 ...
Procedencia de turistas
procedencia-turistas-2007.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 10 → 34.2, 34.3, 35.9, 40.2, 40.3, 40.4 |
| Gran Bs As | 0.0% | 10 → 24.7, 25.1, 25.5, 29.9, 30.5, 31.7 |
| Pcia Bs As | 0.0% | 11 → 16.2, 16.9, 17.0, 18.1, 18.5, 19.6 |
| Resto del país | 0.0% | 11 → 14.5, 2.8, 22.0, 4.0, 5.0, 5.2 |
| Exterior | 0.0% | 9 → 0.3, 0.8, 0.9, 1.0, 1.1, 1.2 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,34.3,25.5,16.2,22.0 ...
Febrero,34.3,25.5,16.2,22.0 ...
procedencia-turistas-2008.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 12 → 25.1, 28.1, 30.0, 30.2, 31.9, 32.1 |
| Gran Bs As | 0.0% | 11 → 24.6, 25.5, 27.8, 37.2, 38.4, 40.2 |
| Pcia Bs As | 0.0% | 12 → 11.1, 14.7, 14.9, 15.3, 17.1, 17.4 |
| Resto del país | 0.0% | 12 → 1.6, 12.6, 13.3, 2.6, 24.9, 3.2 |
| Exterior | 0.0% | 8 → 0.3, 0.6, 0.7, 0.8, 0.9, 1.2 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,25.1,37.2,11.1,24.9 ...
Febrero,30.0,38.4,17.4,13.3 ...
procedencia-turistas-2009.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 11 → 26.3, 26.9, 28.8, 29.8, 30.9, 32.1 |
| Gran Bs As | 0.0% | 12 → 37.2, 37.9, 39.1, 39.9, 40.4, 41.1 |
| Pcia Bs As | 0.0% | 12 → 11.3, 11.9, 13.1, 15.8, 16.1, 17.5 |
| Resto del país | 0.0% | 12 → 11.9, 15.2, 2.3, 21.1, 3.7, 3.8 |
| Exterior | 0.0% | 8 → 0.2, 0.6, 0.7, 0.8, 0.9, 1.1 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,26.3,39.9,11.9,21.1 ...
Febrero,26.9,47.5,13.1,11.9 ...
procedencia-turistas-2010.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 12 → 25.9, 28.4, 29.9, 30.8, 30.9, 31.2 |
| Gran Bs As | 0.0% | 12 → 35.2, 35.3, 38.3, 40.3, 41.4, 42.0 |
| Pcia Bs As | 0.0% | 11 → 12.3, 13.1, 16.4, 16.6, 18.0, 18.5 |
| Resto del país | 0.0% | 12 → 10.9, 11.0, 12.7, 19.9, 5.1, 6.0 |
| Exterior | 0.0% | 8 → 0.3, 0.5, 0.6, 0.7, 0.9, 1.0 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,25.9,35.2,18.0,19.9 ...
Febrero,35.8,38.3,12.3,12.7 ...
procedencia-turistas-2011.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 12 → 21.9, 25.6, 26.9, 27.3, 28.1, 28.5 |
| Gran Bs As | 0.0% | 12 → 32.4, 36.9, 37.8, 38.2, 40.7, 41.0 |
| Pcia Bs As | 0.0% | 11 → 13.2, 14.5, 15.3, 18.2, 18.3, 18.9 |
| Resto del país | 0.0% | 11 → 10.7, 10.9, 11.4, 13.7, 22.9, 3.5 |
| Exterior | 0.0% | 9 → 0.3, 0.5, 0.7, 0.8, 0.9, 1.0 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,21.9,41.0,13.2,22.9 ...
Febrero,25.6,45.1,14.5,13.7 ...
procedencia-turistas-2012.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 12 → 18.1, 27.7, 30.3, 30.5, 32.4, 32.9 |
| Gran Bs As | 0.0% | 11 → 39.3, 39.5, 39.9, 40.0, 41.5, 41.7 |
| Pcia Bs As | 0.0% | 12 → 11.6, 13.3, 14.2, 15.5, 16.0, 17.0 |
| Resto del país | 0.0% | 12 → 13.9, 22.5, 4.6, 5.3, 6.4, 7.4 |
| Exterior | 0.0% | 8 → 0.3, 0.4, 0.5, 0.7, 0.8, 1.0 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,18.1,42.8,15.5,22.5 ...
Febrero,27.7,44.1,13.3,13.9 ...
procedencia-turistas-2013.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 12 → 26.0, 28.5, 29.4, 31.2, 31.7, 32.3 |
| Gran Bs As | 0.0% | 12 → 34.0, 37.5, 37.8, 38.1, 38.6, 38.7 |
| Pcia Bs As | 0.0% | 12 → 13.7, 13.8, 15.9, 17.9, 19.6, 20.1 |
| Resto del país | 0.0% | 12 → 1.7, 11.3, 14.0, 2.6, 3.0, 3.1 |
| Exterior | 0.0% | 8 → 0.3, 0.4, 0.6, 0.7, 0.8, 0.9 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,26.0,45.3,13.7,14.0 ...
Febrero,29.4,44.5,13.8,11.3 ...
procedencia-turistas-2015.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 12 → 35.0, 35.4, 36.0, 36.3, 38.0, 38.3 |
| Gran Bs As | 0.0% | 12 → 26.2, 27.3, 28.0, 29.5, 30.4, 32.6 |
| Pcia Bs As | 0.0% | 12 → 13.4, 14.2, 18.9, 19.1, 21.1, 21.2 |
| Resto del país | 0.0% | 10 → 13.4, 13.8, 2.8, 2.9, 3.8, 5.0 |
| Exterior | 0.0% | 6 → 0.5, 0.6, 0.7, 0.8, 0.9, 1.0 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,38.0,28.0,19.1,13.8 ...
Febrero,42.2,29.5,14.2,13.4 ...
procedencia-turistas-2016.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 11 → 26.5, 27.8, 29.2, 30.5, 31.0, 31.4 |
| Gran Bs As | 0.0% | 12 → 21.6, 23.5, 24.2, 24.8, 26.4, 26.7 |
| Pcia Bs As | 0.0% | 11 → 14.4, 16.9, 21.3, 26.5, 26.7, 27.3 |
| Resto del país | 0.0% | 12 → 10.1, 10.4, 12.6, 14.2, 5.9, 6.6 |
| Exterior | 0.0% | 5 → 0.5, 0.6, 0.7, 0.8, 0.9 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,38.5,33.6,14.4,12.6 ...
Febrero,31.4,36.6,16.9,14.2 ...
procedencia-turistas-2017.csv (0.0 MB · 6 cols · 12 filas · enc=latin-1 · delim=',')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 11 → 26.5, 27.2, 27.6, 27.7, 28.7, 29.1 |
| Gran Bs As | 0.0% | 11 → 31.9, 32.5, 33.5, 33.9, 34.9, 35.4 |
| Pcia Bs As | 0.0% | 11 → 19.9, 23.6, 25.0, 26.7, 27.5, 27.6 |
| Resto del país | 0.0% | 10 → 12.8, 13.3, 3.8, 4.5, 4.6, 5.1 |
| Exterior | 0.0% | 4 → 0.5, 0.6, 0.7, 0.8 |
Mes,Ciudad de Buenos Aires,Gran Bs As,Pcia Bs As,Resto del país ...
Enero,29.1,31.9,25.0,13.3 ...
Febrero,30.3,32.5,23.6,12.8 ...
procedencia-turistas-2018.csv (0.0 MB · 6 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 11 → 21.7, 22.0, 22.9, 23.1, 23.6, 23.7 |
| Gran Bs As | 0.0% | 11 → 39.0, 39.9, 41.0, 43.0, 43.8, 44.6 |
| Pcia Bs As | 0.0% | 11 → 13.3, 21.4, 21.9, 27, 27.4, 27.8 |
| Resto del pais | 0.0% | 10 → 1.0, 1.6, 1.7, 16.9, 2.4, 2.6 |
| Exterior | 0.0% | 4 → 0.5, 0.6, 0.7, 0.8 |
Mes;Ciudad de Buenos Aires;Gran Bs As;Pcia Bs As;Resto del pais ...
Enero;22.0;39.0;21.4;16.9 ...
Febrero;22.0;39.0;21.4;16.9 ...
procedencia-turistas-2019.csv (0.0 MB · 6 cols · 26 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 53.8% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 53.8% | 9 → 24,4%, 26,5%, 26,7%, 27,0%, 28,0%, 29,0% |
| Gran Bs As | 53.8% | 10 → 42,3%, 44,4%, 44,7%, 45,4%, 45,8%, 45,9% |
| Pcia Bs As | 53.8% | 9 → 13,3%, 19,6%, 20,3%, 21,5%, 22,4%, 22,5% |
| Resto del país | 53.8% | 10 → 13,3%, 2,4%, 2,7%, 2,9%, 3,1%, 3,3% |
| Exterior | 53.8% | 7 → 0,3%, 0,6%, 0,7%, 0,8%, 1,0%, 1,2% |
Mes;Ciudad de Buenos Aires;Gran Bs As;Pcia Bs As;Resto del país ...
Enero;24,4%;42,3%;19,6%;13,3% ...
Febrero;24,4%;42,3%;19,6%;13,3% ...
procedencia-turistas-2020_0.csv (0.0 MB · 6 cols · 5 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 40.0% | 3 → Enero, Febrero, Serie interrumpida por la |
| Ciudad de Buenos Aires | 60.0% | 1 → 24.60 |
| Gran Bs As | 60.0% | 1 → 39.50 |
| Pcia Bs As | 60.0% | 1 → 22.50 |
| Resto del país | 60.0% | 1 → 13.10 |
| Exterior | 60.0% | 1 → 0.30 |
Mes;Ciudad de Buenos Aires;Gran Bs As;Pcia Bs As;Resto del país ...
Enero;24.60;39.50;22.50;13.10 ...
Febrero;24.60;39.50;22.50;13.10 ...
procedencia-turistas-2021.csv (0.0 MB · 6 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| Ciudad de Buenos Aires | 0.0% | 10 → -, 14.6, 14.7, 16.7, 17, 18.3 |
| Gran Bs As | 0.0% | 11 → -, 39.5, 40.9, 41.6, 42, 42.8 |
| Pcia Bs As | 0.0% | 11 → -, 14.1, 15.9, 19, 20.6, 20.9 |
| Resto del pais | 0.0% | 10 → -, 13.5, 14.3, 14.5, 14.8, 15.2 |
| Exterior | 0.0% | 1 → - |
Mes;Ciudad de Buenos Aires;Gran Bs As;Pcia Bs As;Resto del pais ...
Enero;23.1;47.6;14.1;15.2 ...
Febrero;18.3;51;15.9;14.8 ...
procedencia-turistas-2022.csv (0.0 MB · 6 cols · 13 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 7.7% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| CABA | 0.0% | 13 |
| GBA | 0.0% | 13 |
| Resto PBA | 0.0% | 13 |
| Resto del país | 0.0% | 13 |
| Exterior | 7.7% | 1 → - |
Mes;CABA;GBA;Resto PBA;Resto del país ...
Enero;21,1%;41,3%;12,5%;25,1% ...
Febrero;17,2%;43,4%;15,3%;24,0% ...
procedencia-turistas-2023.csv (0.0 MB · 6 cols · 13 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 13 |
| CABA | 0.0% | 13 |
| GBA | 0.0% | 13 |
| Resto PBA | 0.0% | 13 |
| Resto del país | 0.0% | 11 → 16,6%, 16,9%, 17,6%, 18,7%, 19,0%, 19,3% |
| Extranjeros | 0.0% | 10 → 0,7%, 0,9%, 1,1%, 1,2%, 1,3%, 1,4% |
Mes;CABA;GBA;Resto PBA;Resto del país ...
Enero;22,0%;39,6%;13,3%;24,5% ...
Febrero;18,1%;42,7%;13,9%;24,7% ...
procedencia-turistas-2024.csv (0.0 MB · 5 cols · 13 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 7.7% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| CABA | 7.7% | 10 → 11,80%, 13,30%, 13,40%, 14,00%, 16,20%, 17,40% |
| GBA | 7.7% | 12 → 25,50%, 26,50%, 26,70%, 35,20%, 35,40%, 36,40% |
| Resto PBA | 7.7% | 12 → 12,50%, 14,80%, 19,70%, 22,10%, 26,40%, 28,40% |
| Resto del país | 7.7% | 12 → 15,90%, 16,10%, 17,60%, 17,80%, 18,70%, 21,80% |
Mes;CABA;GBA;Resto PBA;Resto del país
Enero;21,70%;39,50%;12,50%;26,30%
Febrero;17,60%;41,40%;14,80%;26,20%
Turismo en Fines de Semana Largo
visitantes-fines-de-semana-largos-2007-2024.csv (0.0 MB · 18 cols · 18 filas · enc=latin-1 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Anio | 0.0% | 18 |
| Carnavales | 0.0% | 15 |
| 27 de febrero | 94.4% | 1 → 135.983 |
| 24 de marzo | 22.2% | 6 → 103.308, 110.662, 165.724, 194.819, 84.337, n/h |
| Semana Santa | 5.6% | 17 |
| 2 de Abril | 44.4% | 4 → 126.545, 91.926, n/h, se juntó con semsta |
| 1ro mayo | 44.4% | 8 → 114.786, 114.789, 137.136, 76.739, 80.508, 85.028 |
| 25 de Mayo | 27.8% | 8 → 117.957, 137.583, 68.205, 74.596, 76.440, 86.003 |
| 17 de Junio | 5.6% | 6 → 106.756, 108.384, 32.609, 52.335, 61.813, n/h |
| 20 de Junio | 33.3% | 10 → 105.908, 130.529, 28.378, 32.446, 40.937, 49.738 |
| 9 de Julio | 22.2% | 8 → 58.251, 62.160, 63.872, 75.347, 75.723, 76.672 |
| 17 de Agosto | 11.1% | 16 |
| 24 de septiembre | 94.4% | 1 → 100.733 |
| 12 de Octubre | 5.6% | 17 |
| 20 de noviembre | 22.2% | 14 |
| 8 de Diciembre | 22.2% | 11 → 112.910, 117.729, 118.478, 152.024, 155.629, 184.428 |
| Navidad | 22.2% | 10 → 106.875, 112.511, 114.979, 124.829, 147.229, 161.119 |
| Año nuevo | 83.3% | 3 → 156.039, 170.095, 210.970 |
Anio;Carnavales;27 de febrero;24 de marzo;Semana Santa ...
2007;n/h;;n/h;228.311 ...
2008;n/h;;n/h;233.708 ...
Turismo Estable / Estadía Promedio
estadia-promedio-2007-2021.csv (0.0 MB · 17 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| 2006 | 0.0% | 10 → 1.3, 1.4, 1.6, 1.8, 2, 2.1 |
| 2007 | 0.0% | 10 → 1.2, 1.6, 1.7, 1.8, 1.9, 2.2 |
| 2008 | 0.0% | 10 → 1.3, 1.4, 1.5, 1.7, 1.9, 2.1 |
| 2009 | 0.0% | 11 → 1.3, 1.4, 1.5, 2, 2.1, 2.2 |
| 2010 | 0.0% | 11 → 1.3, 1.5, 1.7, 1.9, 2, 2.3 |
| 2011 | 0.0% | 10 → 1.4, 1.7, 1.8, 1.9, 2.1, 2.2 |
| 2012 | 0.0% | 9 → 1.2, 1.6, 1.7, 1.9, 2.1, 2.6 |
| 2013 | 0.0% | 7 → 1.4, 1.7, 2, 2.1, 3.4, 5.4 |
| 2014 | 0.0% | 10 → 1.6, 1.8, 1.9, 2.1, 2.3, 2.4 |
| 2015 | 0.0% | 9 → 1.4, 1.8, 1.9, 2, 2.3, 3.4 |
| 2016 | 0.0% | 10 → 1.4, 1.5, 1.6, 1.8, 1.9, 2 |
| 2017 | 0.0% | 10 → 1.2, 1.4, 1.5, 1.8, 1.9, 2 |
| 2018 | 0.0% | 10 → 1,3, 1,4, 1,6, 1,8, 2,0, 2,1 |
| 2019 | 0.0% | 10 → 1,1, 1,5, 1,6, 1,8, 1,9, 2,1 |
| 2020 | 0.0% | 3 → -, 6, 6,6 |
| 2021 | 0.0% | 10 → 1,1, 1,5, 1,6, 1,8, 1,9, 2,1 |
Mes;2006;2007;2008;2009 ...
Enero;6.3;7.6;7.6;6.8 ...
Febrero;5.5;6.5;6;5.3 ...
estadia-promedio-2007-2024.csv (0.0 MB · 20 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| 2006 | 0.0% | 10 → 1.3, 1.4, 1.6, 1.8, 2, 2.1 |
| 2007 | 0.0% | 10 → 1.2, 1.6, 1.7, 1.8, 1.9, 2.2 |
| 2008 | 0.0% | 10 → 1.3, 1.4, 1.5, 1.7, 1.9, 2.1 |
| 2009 | 0.0% | 11 → 1.3, 1.4, 1.5, 2, 2.1, 2.2 |
| 2010 | 0.0% | 11 → 1.3, 1.5, 1.7, 1.9, 2, 2.3 |
| 2011 | 0.0% | 10 → 1.4, 1.7, 1.8, 1.9, 2.1, 2.2 |
| 2012 | 0.0% | 9 → 1.2, 1.6, 1.7, 1.9, 2.1, 2.6 |
| 2013 | 0.0% | 7 → 1.4, 1.7, 2, 2.1, 3.4, 5.4 |
| 2014 | 0.0% | 10 → 1.6, 1.8, 1.9, 2.1, 2.3, 2.4 |
| 2015 | 0.0% | 9 → 1.4, 1.8, 1.9, 2, 2.3, 3.4 |
| 2016 | 0.0% | 10 → 1.4, 1.5, 1.6, 1.8, 1.9, 2 |
| 2017 | 0.0% | 10 → 1.2, 1.4, 1.5, 1.8, 1.9, 2 |
| 2018 | 0.0% | 10 → 1,3, 1,4, 1,6, 1,8, 2, 2,1 |
| 2019 | 0.0% | 10 → 1,1, 1,5, 1,6, 1,8, 1,9, 2,1 |
| 2020 | 0.0% | 3 → -, 6, 6,6 |
| 2021 | 0.0% | 10 → 1,1, 1,5, 1,6, 1,8, 1,9, 2,1 |
| 2022 | 0.0% | 7 → 2,1, 2,9, 3,0, 3,1, 3,3, 5,8 |
| 2023 | 0.0% | 9 → 2,8, 2,9, 3,1, 3,2, 3,3, 3,5 |
| 2024 | 0.0% | 8 → 2,9, 3,0, 3,2, 3,3, 3,8, 5,1 |
Mes;2006;2007;2008;2009 ...
Enero;6.3;7.6;7.6;6.8 ...
Febrero;5.5;6.5;6;5.3 ...
turistas-estables-2007-2020.csv (0.0 MB · 15 cols · 12 filas · enc=utf-8 · delim=';')
| Columna | NULL% | Distintos |
|---|---|---|
| Mes | 0.0% | 12 → Abril, Agosto, Diciembre, Enero, Febrero, Julio |
| 2007 | 0.0% | 12 → 102.165, 14.067, 23.416, 24.310, 255.794, 26.416 |
| 2008 | 0.0% | 12 → 104.263, 14.922, 18.693, 21.055, 23.177, 241.859 |
| 2009 | 0.0% | 12 → 15.160, 21.820, 212.553, 24.209, 24.560, 289.801 |
| 2010 | 0.0% | 12 → 16.823, 20.719, 233.748, 25.940, 32.252, 320.676 |
| 2011 | 0.0% | 12 → 17.875, 18.764, 228.865, 27.583, 32.359, 328.935 |
| 2012 | 0.0% | 12 → 14.484, 232.774, 26.686, 28.610, 30.511, 31.350 |
| 2013 | 0.0% | 12 → 20.267, 226.091, 27.557, 27.907, 282.874, 29.683 |
| 2014 | 0.0% | 12 → 105.379, 22.294, 221.736, 23.767, 27.062, 289.143 |
| 2015 | 0.0% | 12 → 100.074, 18.095, 241.211, 29.713, 30.340, 306.639 |
| 2016 | 0.0% | 12 → 17.639, 21.404, 225.258, 25.030, 25.733, 279.415 |
| 2017 | 0.0% | 12 → 15.530, 17.223, 221.226, 24.396, 26.221, 270.719 |
| 2018 | 0.0% | 12 → 15.826, 20.817, 23.646, 237.590, 24.542, 278.713 |
| 2019 | 0.0% | 12 → 13.593, 21.242, 218.241, 24.656, 24.956, 263.104 |
| 2020 | 0.0% | 3 → -, 263.235, 296.590 |
Mes;2007;2008;2009;2010 ...
Enero;348.100;328.687;289.801;320.676 ...
Febrero;255.794;241.859;212.553;233.748 ...