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WRITTEN SUBMISSION BY THE STATE OF PALESTINE: INDEPENDENT COMMISSION FOR HUMAN RIGHTS - NOTE BY THE SECRETARIAT
The occupation authorities refuse to register or grant residency to hundreds of thousands of Palestinians because they were outside the Palestinian territories at the beginning of the occupation in 1967 or spent periods abroad between 1967 and 1994. While Israelis consider Jews living in the West Bank to be Israeli citizens, they do not lose that status regardless of the number of years they spend abroad. Israel, the occupying power, also violates the right of Palestinians to marry and form families, with policies and laws related to nationality and residency. (...) Forced displacement in occupied Jerusalem In occupied East Jerusalem, Israel subjects the vast majority of the hundreds of thousands of Palestinians who live there, to a legal status that undermines their right to reside there, in a systematic discriminatory manner aimed at Judaizing and controlling the city.
Idioma:Español
Puntuación: 1583956.6 - https://daccess-ods.un.org/acc...t?open&DS=A/HRC/47/NI/3&Lang=S
Fuente de datos: ods
Notable Media Coverage: Women Deliver Conference Updated June 8 2010, 5:00pm ET German  Globaler Aufruf von Melinda Gates zur Rettung des Lebens von Frauen und Kindern, N/A, news aktuell (Translated Press release)  Gates-Stiftung spendet 1,5 Mrd, N/A, BILD  1,5 Mrd. Dollar Spende durch die Stiftung von Bill und Melinda Gates, N/A , ShortNews.de Spende-durch-die- Stiftung-von-Bill-und-Melinda-Gates> French  The UN’s boss calls for an improvement of maternal health, Agence France Presse (AFP) o Les Echos.fr o Ma Santé Facile.com o News.Fr.Msn.com o TV5.org o Dernières Nouvelles d’Alsace.fr  Melinda Gates Calls for Global Action to Save Women's and Children's Lives, Capital.fr o Le Point.fr o Euroinvestor.fr o Generation NT.com o Zebulon.fr Spanish  El Objetivo son los tratamientos a medida para cada paciente, Rafael P. Ybarra, El País  Los Gates donan 1.200 millones para mejorar la salud materno-infantil, El País.com  Fundación Gates dona 1.500 millones de dólares para salud materno-infantil, ABC.es  Fundación Gates dona 1.500 millones de dólares para salud de muejres y niños, ADN.es  La Fundación Gates dona 1.200 millones de eruos para proteger la salud maternal e infantile, Yo Dona.com  La Fundación Gates destina 1.200 millones euros al desarrollo de programas integrals de salud materna e infantile, Europa Press o Diario Vasco.com o El Comercio Digital.com o El Correo Vizcaya.com http://www.presseportal.de/pm/16536/1627111/bill_melinda_gates_foundation http://www.bild.de/BILD/news/telegramm/news-ticker,rendertext=12815880.html http://www.shortnews.de/id/835181/1-5-Mrd-Dollar-Spende-durch-die-Stiftung-von-Bill-und-Melinda-Gates http://www.google.com/hostednews/afp/article/ALeqM5h0oD9L6MJKNZbu51BiyjEx84kxtA http://www.capital.fr/bourse/communiques/melinda-gates-demande-une-action-mondiale-pour-sauver-la-vie-de-femmes-et-d-enfants-507343 o El Diario Montañés.es o Hoy.es o Ideal.es o La Rioja.com o La Verdad de Murcia.es o La Voz de Galicia.es o La Voz Digital.es o Norte de Castilla.es o Sur.es Italian  Melinda Gates fa appello a un’azione globale per salvare la vita a donne e bambin, Adnkronos/IGN Swedish  Kvinnor fokus för nytt välgörenhetsprojekt (Women are the focus for new charity project), E24 http://www.adnkronos.com/IGN/News/Aziende_Informano/Melinda-Gates-fa-appello-a-un%E2%80%99azione-globale-per-salvare-la-vita-a-donne-e-bambini_504158162.html http://www.e24.se/ego/senastenytt_s189/http:/www.e24.se/kvinna/pengar/melinda-gates-satsar-pa-valgorenhet-for-kvinnor_2109553.e24
Idioma:Español
Puntuación: 1466519.1 - https://www.who.int/pmnch/acti..._wdmediacoverage_otherlang.pdf
Fuente de datos: un
According to these data, women in the region spend between one fifth and one third of their time each day or each week on unpaid domestic and care work, while men spend about 10% of their time on this work. (...) Data on how boys, girls and adolescents spend their time also allows the measurement of their well-being. (...) In rural areas of Peru, data show that 57.3% of women spend time fetching water, and in Guatemala women spend six hours per week on this activity, which is almost two hours more than men.
Idioma:Español
Puntuación: 1397025.7 - https://www.cepal.org/sites/de...ial_de_america_latina_2016.pdf
Fuente de datos: un
WRITTEN SUBMISSION BY THE PHILIPPINES: COMMISSION ON HUMAN RIGHTS - NOTE BY THE SECRETARIAT
The IOM also reported that with their termination, nearly 16% of all Filipino migrant workers were forced to spend their own money to return home, adding that 70% of OFWs did not receive support from their employers before returning to the Philippines. (...) Although the government has already initiated the release of special risk allowance to frontliners, thousands have yet received their benefits. Last August 30, and September 1, 2021, healthcare workers staged protests calling for the immediate release of their benefits .8 In a statement, the Commission urged the government to make the processing of claims as easy and efficient as possible.
Idioma:Español
Puntuación: 1344001.8 - https://daccess-ods.un.org/acc...t?open&DS=A/HRC/48/NI/1&Lang=S
Fuente de datos: ods
REPORT OF THE SPECIAL RAPPORTEUR ON THE HUMAN RIGHTS OF MIGRANTS, JORGE BUSTAMANTE : ADDENDUM
Asylum-seekers granted refugee status, spend an average of 10 months in detention, with the longest period in one case being three and a half years. (...) According to Government sources, hundreds of thousands of persons have been deported since these laws went into effect in 1996. 47. (...) To make matters worse, the Department of Homeland Security often transfers detainees hundreds or thousands of miles away from their home cities without any notice to their attorneys or family members, which violates the agency’s own administrative regulations on detention and transfer of detainees.
Idioma:Español
Puntuación: 1290737.3 - daccess-ods.un.org/acce...pen&DS=A/HRC/7/12/ADD.2&Lang=S
Fuente de datos: ods
THE RIGHT TO FOOD : REPORT OF THE SPECIAL RAPPORTEUR ON THE RIGHT TO FOOD, JEAN ZIEGLER : ADDENDUM
Other natural disasters are common, including earthquakes such as the terrible quake that devastated India-administered Kashmir killing thousands of people in October 2005 and the tsunami of December 2004 that killed at least 11,000 people, injuring and displacing thousands more across the south-eastern coastal areas of the country. 5. (...) According to FAO, India is home to the largest share of the world’s undernourished population, and more than 200 million Indian children, women and men eat less than the daily minimum calorie requirement.7 Official Indian statistics suggest that this situation may be even worse, with more than half (53 per cent) of the population estimated to be undernourished in the Government’s own report on progress towards achieving the MDGs.8 It is estimated that the poorest 30 per cent of households eat less than 1,700 kilocalories per day per person (well below the international minimum standard of 2,100 kilocalories per day)9 even if they spend 70 per cent of their income on food.10 Average calorie consumption has been falling over recent decades - but while this is explained as a shift away from basic staple food amongst higher income families, it is also a sign of increasing food insecurity amongst the poorest.
Idioma:Español
Puntuación: 1280413.7 - daccess-ods.un.org/acce...DS=E/CN.4/2006/44/ADD.2&Lang=S
Fuente de datos: ods
El modelo a estimar es: IDH como factor de la migración m = ln( Emigrantesj hacia i / Emigrantesi hacia j )2000 = β0 + β1populationDensityi95 +β2populationDensityj95+ β3loggdp_pci95 + β4loggdp_pcj95 + β5 propPob_15_24i95 + β6 propPob_15_24j95 + β7propWomeni95+ β8propWomenj95 + β9avgHHsizei95+ β10avgHHsizej95+ β11schoolingi95+ β12schoolingj95+ β13prop_L_secondaryi95 + β14prop_L_secondaryj95+ β15prop_L_servicesi95 + β16prop_L_servicesj95+ β17AGRIgrowth_ratei95+ β18AGRIgrowth_ratej95 + β19TOTALgrowth_ratei95+ β20TOTALgrowth_ratej95+ β21DummyCHIHi + β22DummyCHIHj+ β23DummyCOAHi + β24DummyCOAHj + β25DummyTAMPSi + β26DummyTAMPSj + β27DummyBCi + β28DummyBCj+ β29DummyDFi + β30DummyDFj + β31DummyEDOMEXi +β32DummyEDOMEXj + β33DummySINALOAi + β34DummySINALOAj + β35DummyOAXACAi + β36DummyOAXACAj + β37distancei_j + β38lifeexpectancyi95 + β39lifeexpectancyj95 + β40Networkj_i95 + β41Networki_j95 + β42logpopulationi95 + β43logpopulationj95 + εij Resultados del modelo Gravitacional – Nivel Estatal (1) INT Model 1 Model 2 Population density (thousands)- Destination -1.280*** 1.196 Population density (thousands) - Origin 1.663*** 7.352** Perc. people between 15 and 24 y/o - Destination 12.281 11.658 Perc. people between 15 and 24 y/o - Origin -15.461* -21.374 Women rate - Destination 25.137*** 24.730*** Women rate - Origin -26.448*** -22.404*** Avg. household size - Destination 0.332 0.287 Avg. household size - Origin -0.313* -0.499** Log GDP per capita - Destination 0.267*** 2.186 Log GDP per capita - Origin -0.380*** 3.177** Avg. level of education - Destination 0.087 -0.629 Avg. level of education - Origin -0.190* -3.981*** Life expectancy - Destination 0.061 0.042 Life expectancy - Origin -0.156*** -0.302*** Perc. secondary sector - Destination -0.384 -1.108 Perc. secondary sector - Origin -0.286 -1.205 Perc. services sector - Destination 1.493*** 1.079** Perc. services sector - Origin -0.793** -1.960*** Agr. sector growth rate - Destination 0.004 -0.007 Agr. sector growth rate - Origin 0.011* -0.019* Total growth rate - Destination -0.021 -0.01 Total growth rate - Origin 0.021** 0.048*** INT Resultados del modelo Gravitacional – Nivel Estatal (2) Model 1 Model 2 Immigrants stock - Destination 1.569 2.24 Immigrants stock - Origin 3.597*** 3.408*** Dummy DF - Destination 5.786** 249.709 Dummy DF - Origin -7.636*** 564.110* Dummy Edo MEX - Destination 0.336 1.593 Dummy Edo MEX - Origin -0.227 2.549 Dummy Baja California - Destination 0.458*** 0.381* Dummy Baja California - Origin -0.292 -0.5 Dummy Sonora - Destination 0.307** 0.138 Dummy Sonora - Origin -0.134 -0.654*** Dummy Chihuahua - Destination 0.649*** 0.629*** Dummy Chihuahua - Origin -0.203 -0.275 Dummy Coahuila - Destination 0.719** 0.569 Dummy Coahuila - Origin -0.556*** -1.409*** Dummy Tamaulipas - Destination 0.500*** 0.359** Dummy Tamaulipas - Origin -0.456*** -0.877*** Dummy Sinaloa - Destination 0.286** 0.032 Dummy Sinaloa - Origin 0.259** -0.138 Dummy Oaxaca - Destination -0.287 -0.225 Dummy Oaxaca - Origin -0.172* -0.401*** Distance between states (thousands km) 0.090*** 0.044 INT Resultados del modelo Gravitacional – Nivel Estatal (3) Model 1 Model 2 Population density squared (thousands)- Destination -7.893 Population density squared (thousands)- Origin -18.516* Log GDP per capita squared - Destination -0.384 Log GDP per capita squared - Origin -0.701** Avg. level of education squared - Destination 0.076 Avg. level of education squared - Origin 0.374*** Distance between states squared (thousands km) 0.016 Log total population - Destination -0.253*** 3.024 Log total population - Origin 0.127*** 6.490* Log total population squared - Destination -0.112 Log total population squared - Origin -0.218* Constant 10.556 -41.423 Observations 496 496 Adjusted R-squared 0.488 0.496 * Significant at 10% level, ** Significant at 5%, *** Significant at 1% Controlando por los otros factores, un estado de la frontera norte tiene una tasa de inmigración neta entre 105% (Coahuila) y 58% (BC) mayor que el promedio. (...) IDH como factor de la migración INT Resultados del modelo Gravitacional – Nivel Municipal (1) Model 1 Model 2 Population density (thousands)- Destination -0.004 0.002 Population density (thousands) - Origin 0.008*** 0.030*** Perc. people between 15 and 24 y/o - Destination 4.524*** 4.363*** Perc. people between 15 and 24 y/o - Origin 0.021 0.493 Women rate - Destination -1.219 -0.854 Women rate - Origin 1.428* -0.292 Avg. household size - Destination 0.095*** 0.102*** Avg. household size - Origin -0.062** -0.054* Log GDP per capita - Destination 0.393*** -0.763 Log GDP per capita - Origin -0.278*** 0.195 Avg. level of education - Destination -0.055*** 0.115 Avg. level of education - Origin -0.027* -0.099 Life expectancy - Destination 0.042*** 0.043*** Life expectancy - Origin -0.002 -0.003 Perc. secondary sector - Destination 1.239*** 1.270*** Perc. secondary sector - Origin -0.011 -0.03 Perc. services sector - Destination 0.509*** 0.552*** Perc. services sector - Origin -0.342*** -0.319** Agr. sector growth rate - Destination 0 0 Agr. sector growth rate - Origin 0.002 0.002 Total growth rate - Destination -0.006** -0.006** Total growth rate - Origin 0.010*** 0.008*** INT Resultados del modelo Gravitacional – Nivel Municipal (2) Model 1 Model 2 Immigrants stock - Destination -1.511*** -1.559*** Immigrants stock - Origin 0.468** 0.603*** Dummy DF - Destination -0.334*** -0.373*** Dummy DF - Origin 0.327*** 0.284*** Dummy Edo MEX - Destination -0.071** -0.076** Dummy Edo MEX - Origin -0.032 -0.089*** Dummy Baja California - Destination 0.399*** 0.419*** Dummy Baja California - Origin -0.282*** -0.265*** Dummy Sonora - Destination 0.234*** 0.244*** Dummy Sonora - Origin -0.067* -0.064* Dummy Chihuahua - Destination 0.209*** 0.217*** Dummy Chihuahua - Origin -0.015 0.011 Dummy Coahuila - Destination -0.023 -0.016 Dummy Coahuila - Origin -0.094** -0.075* Dummy Tamaulipas - Destination 0.265*** 0.273*** Dummy Tamaulipas - Origin -0.130*** -0.156*** Dummy Sinaloa - Destination 0.200*** 0.210*** Dummy Sinaloa - Origin 0.209*** 0.194*** Dummy Oaxaca - Destination 0.031 0.035 Dummy Oaxaca - Origin 0.187*** 0.181*** Distance between states (thousands km) 0.141** 0.435*** INT Resultados del modelo Gravitacional – Nivel Municipal (3) Model 1 Model 2 Log GDP per capita squared - Destination 0.065* Log GDP per capita squared - Origin -0.027 Population density squared (thousands)- Destination 0 Population density squared (thousands)- Origin -0.001** Avg. level of education squared - Destination -0.014** Avg. level of education squared - Origin 0.006 Distance between states squared (thousands km) -0.147*** Log total population - Destination -0.133*** -0.025 Log total population - Origin 0.005 0.713*** Log total population squared - Destination -0.005 Log total population squared - Origin -0.029*** Constant -2.610*** -4.146 Observations 14608 14608 Adjusted R-squared 0.1 0.103 * Significant at 10% level, ** Significant at 5%, *** Significant at 1% La mayoría de los factores son pull factors: PARA AMBAS REGIONES PIB per capita Tamaño del hogar promedio Porcentaje de la fuerza laboral en el sector servicios Stock (redes) de inmigrantes REGIÓN DE DESTINO Porcentaje de personas entre 15 y 24 años de edad Esperanza de vida Porcentaje de la fuerza laboral en el sector secundario IDH como factor de la migración Los factores push son: PARA AMBAS REGIONES Tasa de crecimiento de la economía estatal Dummy para el DF REGIÓN DE DESTINO Dummy para el Estado de México Total de la población en el estado REGIÓN DE ORIGEN Densidad de población estatal Porcentaje de mujeres en el estado IDH como factor de la migración La densidad poblacional en el Distrito Federal es en efecto un factor de atracción de emigrantes, una vez que se han controlado otros factores.
Idioma:Español
Puntuación: 1183411.1 - https://www.cepal.org/sites/de...s/courses/files/isoloaga_p.pdf
Fuente de datos: un
THE RIGHT TO FOOD : REPORT OF THE SPECIAL RAPPORTEUR ON THE RIGHT TO FOOD, JEAN ZIEGLER : ADDENDUM
More than 3.5 million animals were killed in 2000 and another 4.7 million in 2001.3 Over 10,000 herders were left without any livestock and thousands more Mongolian families lost most of their herd. 7. (...) It is important to understand that during the early 1990s, there was a “return to the land”, with many families driven back to rural areas to escape escalating urban poverty. Thousands of people lost their jobs in urban areas as the economy collapsed and State industry was dismantled during the brutal economic transition, and many turned to herding as the only alternative. (...) Residents of the urban ger districts (urban shantytown districts surrounding Ulaanbaatar made up of the traditional Mongolian white felt tents, or gers) face severe problems of access to safe water and pay far more for water from kiosks than apartment residents for running water.14 Poor families now spend over 70 per cent of their income on food,15 and therefore have to make difficult choices between food, water, health, education or winter heating.
Idioma:Español
Puntuación: 1162924.4 - daccess-ods.un.org/acce...DS=E/CN.4/2005/47/ADD.2&Lang=S
Fuente de datos: ods
ISSN 0378-5386 Bo
(Por »il) Ambos Sexos Hombres Mujeres 51.82 54.63 57.08 59.02 61.17 50.14 52.82 55.18 56.99 58.90 53.58 56.53 59.07 61.16 63.54 125.13 111.85 99.97 90.42 80.49 133.79 120.34 108.03 98.28 89.29 116.03 102.93 91.50 82.18 71.26 Expectation of life at birth: Both sexes Males Females Infant mortality rate (per thousands) Both sexes Males Females CRECIMIENTO NATURAL Crecimiento anual: B-D (En miles) Tasa de crecimiento natural (Por mil) 4 648 5 537 6 575 7 031 7 595 27.17 28.14 29.02 27.06 25.67 NATURAL INCREASE Annual natural increase: B-D (in thousands) Natural increase rate (per thousands) MIGRACIÓN Higracion anual: M (En miles) Tasa de migración m (Por mil) 100 -47 -163 -194 -201 0.61 -0.23 -0.71 -0.74 -0.67 MIGRATION Annual migration M (in thousands) Migration rate ni (per thousands) CRECIMIENTO TOTAL Creciaiento anual: B-D+(-)M (En miles Tasa de crecimiento total: r (Por mil) 4 748 5 490 6 412 6 843 7 395 27.78 27.91 28.31 26.33 25.01 TOTAL INCREASE Annual increase B-D+(-)M (in thousands) Total increase rate r (per thousands) 18 (Continua)/(continued) CUADRO 2 b (continuación) / TABLE 2 b (continued) AMERICA LATINA: INDICADORES DEMOGRÁFICOS ESTIMADOS ENTRE 1950-1955 Y 2020-2025 LATÍN AMERICA: DEHOGRAPHIC INDEXES ESTIMATED FOR 1950-1955 AND 2020-2025 AMERICA LATINA DUINQUENIOS/OUINQUENNIA Indicadores Demographic demográficos 1975- 1980- 1985- 1990- 1995- indexes 1980 1985 1990 1995 2000 FECUNDIDAD Nacimientos anuales: B (En Miles) Tasa bruta de nata- lidad b (Por Mil) Tasa global de fecundidad Tasa bruta de reproducción 10 839 11 577 12 141 12 475 12 660 32.49 30.99 29.16 27.05 25.00 4.40 4.00 3.64 3.32 3.06 2.15 1.95 1.78 1.62 1.49 EERTITILY Annual birth: B (in thousands) Crude birth rate b (per thousands) Total fertility rate Gross reproduction rate HORTALIDAD Muertes anuales D (En niles) Tasa bruta de Morta- lidad: d (Por Mil) Esperanza de vida al nacer: Anbos sexos Hombres Mujeres Tasa de Mortalidad infantil. (Por Mil) AMbos Sexos HoMbres Mujeres 2 894 2 995 3 116 3 239 8.69 8.04 7.S2 7.06 63.20 64.87 66.32 67.70 60.74 62.23 63.63 64.96 65.78 67.65 69.14 70.57 391 6.74 8 90 6.12 1.82 70.05 62.10 55.06 48.58 43.00 78.22 69.85 62.31 55.36 49.38 61.48 53.95 47.45 41.45 36.31 H0RTALITY Annual death: D (in thousands) Crude death rate d (per thousands) Expectation of lifa at birth: Both sexes Hales fetales Infant Mortality rate (per thousands) Both sexes Males Fetales CRECIMIENTO NATURAL CreciMiento anual: B-D (En Miles) Tasa de creciMiento natural (Por Mil) 7 946 8 S82 9 025 9 235 9 269 23.80 22.95 21.64 19.99 18.26 NATURAL INCREASE Annual natural increase: B-D (in thousands) Natural increase rate (per thousands) MIGRACIÓN Migración anual: M (En niles) Tasa de Migración m (Por Mil) -249 -328 -264 -219 -210 -0.71 -0.88 -0.64 -0.48 -0.42 MIGRATI0N Annual Migration M (in thousands) Migration rate M (per thousands) CRECIMIENTO TOTAL CreciMiento anual: B-D+(-)M (En Miles Tasa de creciMiento total: r (Por Mil) 7 697 8 255 8 761 9 016 9 059 23.09 22.07 21.00 19.51 17.84 TOTAL INCREASE Annual increase B-D*(-)M (in thousands) Total increase rate r (per thousands) (Continua)/(Continued) 19 CUADRO 2 b (conclulion) / TABLE 2 b (concluded) AMERICA LATINA: INDICADORES DEM0GRAFIC08 ESTIMADOS ENTRE 1950-1955 Y 2020-2025 LATÍN AMERICA: DEMOGRAPHIC INDEXES ESTIHATED FOR 1950-1955 AND 2020-2025 AMERICA LATINA QUINQUENIOS/OUINQUENNIA Indicadores Deaographic demográficos 2000- 2005- 2010- 2015- 2020- indexes 2005 2010 2015 2020 2025 FECUNDIDAD Naciaientos anuales: B (En alies) Tasa bruta de nata- lidad b (Por ail) Tasa global de fecundidad Tasa bruta de reproducción 12 841 13 053 13 250 13 386 13 473 23.27 21.87 20.66 19.55 18.54 2.86 2.70 2.58 2.48 2.40 1.39 1.32 1.26 1.21 1.17 FERTITILY Annual birth: B (in thousands) Crude birth rate b (per thousands) Total fertility rate Gross reproduction rate MORTALIDAD Muertes anuales D (En ailes) 3 606 3 879 4 203 4 606 5 098 MORTALITY Annual death: D (in thousands) Tasa bruta da aorta- lidad: d (Por ail) Esperanza da vida al nacer: Aabos sexos Hoabres Mujeres Tasa da mortalidad infantil. (Por ail) Aabot Sexos Hoabres Mujeres 6.58 6.54 6.60 6.77 7.06 69.94 70.83 71.62 72.28 72.83 67.11 67.97 68.72 69.36 69.90 72.90 73.84 74.66 75.34 75.90 38.33 34.38 30.98 28.16 25.85 44.32 40.04 36.34 33.21 30.63 32.04 28.43 25.34 22.84 20.84 Crude death rate d (per thousands) Expactation of Ufa at birth: Both saxas Males Feaales Infant aortality rate (per thousands) Both saxas Hales Feaales CRECIMIENTO NATURAL Creciaiento anual: B-D (En ailes) Tasa de creciaiento natural (Por ail) 9 234 9 174 9 047 8 780 8 375 16.69 15 .33 14.07 12.78 11.49 NATURAL INCREASE Annual natural increase: B-D (in thousands) Natural increase rate (per thousands) MIGRACIÓN Migración anual: M (En ailes) Tasa de aigracion a (Por ail) -203 -198 -193 -188 -0.37 -0.33 -0.30 -0.28 -0.26 MIGRATION Annual aigration M (in thousands) Migration rate a (per thousands) CRECIMIENTO TOTAL Creciaiento anual: B-D+(-)N (En ailes Tasa de creciaiento total: r (Por ail) 9 031 8 976 8 854 8 592 8 191 16.32 14.99 13.76 12.50 11.23 TOTAL INCREASE Annual increase B-D+(-)M (in thousands) Total increase rate r (per thousands) 20 CUADRO 3 a / IABLE 3 a AMERICA LATINA: PROYECCIÓN DE LA POBLACIÓN TOTAL SEGÚN SEXO Y GRUPOS QUINQUENALES DE EDADES. 1950-2025 LATÍN AHERICA: PROJECIION OF THE TOTAL POPULATION BY SEX AND QUINQUENNIAL AGE GKOUPS. 1950-2025 ARGENTINA Sexo y grupos POBLACION/POPULATION de edad/ Sex and age Artos/Years groups 1950 1955 1960 1965 1970 1975 AMBOS SEXOS/BOIH SEXES Total 17 150 336 18 927 821 20 616 009 22 2B3 100 23 962 313 26 051 685 0- 4 5- 9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80 y + 1 1 1 1 1 1 1 1 1 947 709 578 567 578 469 320 240 127 973 797 632 485 328 201 109 81 133 551 744 966 761 111 361 851 382 966 166 135 838 945 228 510 688 2 1 1 1 1 1 1 1 1 1 158 940 724 616 611 599 473 314 224 098 931 744 570 416 262 143 93 225 611 874 565 847 448 442 565 856 295 572 461 066 525 631 953 885 2 2 1 1 1 1 1 1 1 1 1 261 140 943 738 632 613 592 459 294 193 053 873 676 494 337 191 119 102 220 295 229 219 550 006 985 781 577 346 829 450 223 776 489 930 2 2 2 1 1 1 1 1 1 1 1 342 245 142 954 750 634 606 577 439 265 148 992 796 588 401 247 149 581 297 099 768 241 226 661 780 517 401 956 088 452 554 297 920 261 2 2 2 2 1 1 1 1 1 1 1 1 460 328 247 153 966 752 627 592 553 405 218 083 906 695 482 297 191 686 264 553 313 241 047 790 035 888 647 988 207 267 443 207 340 398 2 2 2 2 2 1 1 1 1 1 1 1 801 575 462 373 343 826 2B5 996 196 394 988 748 758 649 622 650 575 202 522 035 357 681 155 202 998 301 800 673 577 557 364 230 240 593 HOMBRES/MALES Iotal 0- 4 5- 9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80 y + 8 826 992 Q67 800 796 802 748 673 638 593 525 430 344 259 169 99 50 32 955 312 028 669 290 248 906 247 996 736 530 811 570 692 979 030 996 915 9 666 1 095 988 874 817 814 809 749 668 627 573 496 395 303 215 130 66 38 371 977 459 451 727 735 866 030 205 731 854 772 290 280 659 273 908 152 10 469 1 148 1 086 989 881 825 815 805 741 656 607 543 457 350 254 168 89 48 900 359 319 344 675 104 525 626 153 071 585 791 647 287 632 086 846 851 11 244 1 188 1 139 1 086 994 887 825 810 796 728 636 577 502 405 292 195 115 61 313 852 870 734 861 178 143 836 744 064 845 762 027 084 010 622 501 181 12 1 1 1 1 018 248 181 140 091 999 886 820 801 781 705 605 533 444 338 226 136 78 838 560 035 438 916 722 882 518 323 016 304 328 065 011 430 716 187 388 13 1 1 1 1 1 1 006 250 422 136 248 895 188 412 159 792 113 087 009 994 888 966 816 005 789 396 759 065 672 253 561 759 476 128 375 651 266 379 160 845 97 486 MUJERES/EEMALES Total 0- 4 5- 9 10-14 1S-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 80 y+ 8 323 954 842 778 771 776 720 647 601 533 448 366 287 226 158 102 58 48 381 821 523 075 67,6 513 205 114 855 646 436 355 565 146 966 198 514 773 9 261 1 062 952 850 800 797 789 724 646 597 524 434 349 266 200 132 77 55 450 248 151 423 838 112 582 413 360 125 441 799 172 786 866 358 045 732 10 146 1 112 1 053 953 856 807 798 786 718 «38 585 509 416 326 239 169 101 71 109 743 901 951 554 115 025 381 833 711 992 555 182 163 591 690 643 079 11 038 1 153 1 105 1 055 959 863 809 795 781 711 628 571 490 391 296 205 132 88 786 729 428 366 908 063 083 825 036 453 556 194 061 368 544 675 419 080 11 1 1 1 1 943 212 147 107 061 966 865 807 790 772 700 613 550 462 357 255 161 113 475 126 229 115 397 519 165 272 712 872 343 660 142 256 013 491 153 010 13 1 1 1 1 1 045 435 379 439 213 478 155 414 126 204 083 307 978 754 869 683 806 644 785 806 762 970 685 428 593 443 522 174 425 022 311 178 203 385 143 107 (continua)/(continued) 21 CUADRO 3 a (continuación) / TABLE 3 a (continued) AMERICA LATINA: LATÍN AMERICA: PROYECCIÓN DE LA POBLACIÓN TOTAL SEGÚN SEXO Y GRUPOS QUINQUENALES DE EDADES. 1950-2025 P80JECTI0N OF THE TOTAL FOPULATION BY SEX AND QUINQUENNIAL ASE GROUPS. 1 •350-2025 ARGENTINA Sexo y grupos POBLACION/POPULATION de edad/ Sex and age Aflos/Years Sroups 1980 1985 1990 1995 2000 AMBOS SEXOS/BOTH SEXES Total 28 237 149 0 - 4 5 - 9 10 -14 15 -19 2 0 - 2 4 25 -29 3 0 - 3 4 3 5 - 3 9 4 0 - 4 4 45 -49 5 0 - 5 4 5 5 - 5 9 6 0 - 6 4 6 5 - 6 9 7 0 - 7 4 7 5 - 7 9 80 y + HOMBRES/MALES 3 2 2 2 2 2 1 1 1 1 1 1 1 241 783 455 334 272 180 971 737 594 535 466 287 069 888 672 442 303 127 516 686 978 473 134 053 575 845 904 401 045 204 873 442 598 295 30 3 3 2 2 2 2 2 1 1 1 1 1 1 331 240 223 776 447 322 257 162 949 709 557 483 394 195 957 752 521 379 283 084 845 709 327 527 199 398 263 938 734 267 398 786 260 G31 475 443 32 3 3 3 2 2 2 2 2 1 1 1 1 1 1 321 229 224 216 768 435 308 240 140 920 672 507 414 299 075 815 589 464 887 187 866 719 145 478 283 283 245 302 561 347 030 840 280 675 349 296 34 3 3 3 3 2 2 2 2 2 1 1 1 1 1 264 271 215 218 207 755 421 292 218 110 880 621 440 321 173 920 643 549 112 795 764 399 684 921 773 281 902 472 668 200 155 850 424 929 682 212 6 3 3 3 3 3 2 2 2 2 2 I 1 1 1 1 237 394 259 209 210 194 741 406 271 189 069 825 551 349 196 009 731 627 533 122 620 863 0B4 643 556 075 706 713 120 402 589 290 988 316 030 416 Iotal o- 4 5 - 9 10 -14 15 -19 2 0 - 2 4 2 5 - 2 9 3 0 - 3 4 35 -39 4 0 - 4 4 4 5 - 4 9 5 0 - 5 4 5 5 - 5 9 6 0 - 6 4 6 5 - 6 9 7 0 - 7 4 7 5 - 7 9 80 y + MUJERES/EEMALES Total O- 4 5- 9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75-79 BO y + 14 045 1 645 1 412 1 245 1 183 1 151 1 102 999 876 798 763 721 624 504 406 298 191 119 14 191 1 595 1 371 1 210 1 151 1 121 1 077 971 861 796 772 744 662 564 482 373 250 183 471 984 423 024 111 326 980 248 050 412 582 689 496 561 442 729 764 651 678 143 093 662 867 147 154 805 526 432 322 712 548 643 431 714 834 644 15 1 1 1 1 1 1 1 15 1 1 1 1 1 1 1 045 645 636 408 239 175 141 092 985 858 773 728 673 563 433 325 217 146 285 594 587 368 207 147 115 070 963 851 783 755 721 632 523 426 304 233 534 921 470 454 982 279 770 138 738 388 901 129 025 7
Idioma:Español
Puntuación: 1162612.2 - daccess-ods.un.org/acce...get?open&DS=LC/DEM/G.58&Lang=S
Fuente de datos: ods
Brasil y Regiones. (Thousands of people) Unity 2004 2007 2009 2011 2014 Rate (% per year) Var. (1000 people) Brazil 18.030 16.842 16.035 14.888 14.466 -2,8 *** -3.564 North Region 1.963 1.620 1.619 1.855 1.691 0,0 -272 Northeast Region 8.254 7.798 7.214 6.665 6.529 -3,3 *** -1.725 Southeast Region 3.562 3.456 3.520 3.155 3.065 -2,1 *** -497 South Region 3.180 2.868 2.607 2.339 2.248 -4,2 *** -933 Midwest Region 1.070 1.099 1.075 874 934 -2,5 *** -137 Source: PNAD/IBGE special tabs. 2016, February. (...) Brasil y Regiones. (Thousands of people) Unity 2004 2007 2009 2011 2014 Rate (% per year) Var. (1000 people) Brazil 5.763 5.413 4.917 4.477 4.569 -3,7 *** -1.193 North Region 574 490 461 521 474 -0,9 -100 Northeast Region 2.633 2.490 2.166 2.068 2.180 -3,8 *** -453 Southeast Region 1.060 1.033 1.057 880 902 -2,8 *** -158 South Region 1.234 1.115 967 834 807 -5,3 *** -427 Midwest Region 262 284 267 173 205 -5,3 *** -56 Source: PNAD/IBGE special tabs. 2016, February. (...) Brasil y Regiones. (Thousands of people) Unity 2004 2007 2009 2011 2014 Rate 04/09 (% per year) Rate 11/14 (% per year) Var. (1000 people) Brazil 4.279 5.079 5.352 4.563 5.511 4,0 ** 6,3 ** 1.232 North Region 631 795 830 643 737 3,9 4,8 * 106 Northeast Region 1.486 1.814 1.873 1.823 2.280 4,2 ** 7,6 ** 794 Southeast Region 1.175 1.386 1.452 1.103 1.281 3,9 *** 4,6 * 107 South Region 732 811 890 782 929 4,4 *** 5,6 * 197 Midwest Region 255 272 307 212 283 2,2 10,9 ** 28 Source: PNAD/IBGE special tabs. 2016, February.
Idioma:Español
Puntuación: 1092895.4 - https://www.cepal.org/sites/de..._cepal_chile_novembro_2016.pdf
Fuente de datos: un