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<p><strong>Data availability:</strong></p>
<p>Data for 2014 <p>Regional and sub regional aggregates are computed for all regions, with the exceptions of the Caribbean and the <p> <p>Breakdown of the number of countries covered by region is as follows:</p> <table> <tbody> <tr> <td> <p>World</p> </td> <td> <p>137</p> </td> </tr> <tr> <td> <p>Africa</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Northern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Sub-Saharan Africa</p> </td> <td> <p>34</p> </td> </tr> <tr> <td> <p>Eastern Africa</p> </td> <td> <p>11</p> </td> </tr> <tr> <td> <p>Middle Africa</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Western Africa</p> </td> <td> <p>14</p> </td> </tr> <tr> <td> <p>Americas</p> </td> <td> <p>22</p> </td> </tr> <tr> <td> <p>Latin America and the Caribbean</p> </td> <td> <p>20</p> </td> </tr> <tr> <td> <p>Caribbean</p> </td> <td> <p>3</p> </td> </tr> <tr> <td> <p>Latin America</p> </td> <td> <p>17</p> </td> </tr> <tr> <td> <p>Northern America</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Asia</p> </td> <td> <p>36</p> </td> </tr> <tr> <td> <p>Central Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Eastern Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Asia</p> </td> <td> <p>8</p> </td> </tr> <tr> <td> <p>South-Eastern Asia</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Western Asia</p> </td> <td> <p>13</p> </td> </tr> <tr> <td> <p>Europe</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Eastern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Northern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Southern Europe</p> </td> <td> <p>12</p> </td> </tr> <tr> <td> <p>Western Europe</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Oceania</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Australia and New Zealand</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Melanesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Micronesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Polynesia</p> </td> <td> <p>0</p> </td> </tr> </tbody> </table> <p><strong>Time series:</strong></p> <p>Only the 3-year average (2014-2016, 2015-17 and 2016-18) is provided <p>Only the 3-year average (2014-2016, 2015-17, 2016-18, 2017-19 and 2018-20) is provided for country level data. Annual values are provided for regional aggregates.</p> <p><strong>Disaggregation:</strong></p> <p>As the FIES or any other compatible experience-based food security questionnaire is applied through surveys, the prevalence of food insecurity can be measured in any population group for which the survey used to collect data is representative.</p> <p>If applied at household level, disaggregation is thus possible based on household characteristics such as location, household income, composition (including for example presence and number of small children, members with disabilities, elderly members, etc.), sex, age and education of the household head, etc. If applied at the individual level, proper disaggregation of the prevalence of food insecurity by sex is possible as the prevalence of food insecurity among male and among female members of the same population group can be measured independently.</p> <p>When producing disaggregated statistics, attention must be devoted to verifying the validity of the application by estimating the Rasch model with the data from each specific subpopulation group and, if necessary, perform the appropriate equating of the measure before comparing results.</p> <p>It is good practice to associate a measure of variability (margins of error or upper and lower bound) when disaggregated data are produced.</p> <p>At the moment, disaggregated statistics by gender of the respondent are provided.</p> |
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<p><strong>Data availability:</strong></p>
<p>Data for 2014, 2015,2016, 2017 and 2018 are available from FAO for 137 countries, areas and territories included in the Gallup World Poll. Regional and sub regional aggregates are computed for all regions, with the exceptions of the Caribbean and the Oceania regions (as most small island states in the Caribbean and in the South Pacific are not covered by the GWP) and Middle Africa (as less than 50% of the regional population was covered). Data have been subject to a country consultation process and only results validated by national statistical offices are published at country level. </p> <p>FIES compatible data from official national surveys are already available from Burkina Faso, Cabo Verde, Canada, Chile, Ecuador, Ghana, Indonesia, Israel, Kenya, Malawi, Nigeria, Palestine, Republic of Korea (2014 and 2015), Russian Federation (2016-18), Saint Lucia, Seychelles, United States of America. . </p> <p>Breakdown of the number of countries covered by region is as follows:</p> <table> <tbody> <tr> <td> <p>World</p> </td> <td> <p>137</p> </td> </tr> <tr> <td> <p>Africa</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Northern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Sub-Saharan Africa</p> </td> <td> <p>34</p> </td> </tr> <tr> <td> <p>Eastern Africa</p> </td> <td> <p>11</p> </td> </tr> <tr> <td> <p>Middle Africa</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Western Africa</p> </td> <td> <p>14</p> </td> </tr> <tr> <td> <p>Americas</p> </td> <td> <p>22</p> </td> </tr> <tr> <td> <p>Latin America and the Caribbean</p> </td> <td> <p>20</p> </td> </tr> <tr> <td> <p>Caribbean</p> </td> <td> <p>3</p> </td> </tr> <tr> <td> <p>Latin America</p> </td> <td> <p>17</p> </td> </tr> <tr> <td> <p>Northern America</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Asia</p> </td> <td> <p>36</p> </td> </tr> <tr> <td> <p>Central Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Eastern Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Asia</p> </td> <td> <p>8</p> </td> </tr> <tr> <td> <p>South-Eastern Asia</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Western Asia</p> </td> <td> <p>13</p> </td> </tr> <tr> <td> <p>Europe</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Eastern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Northern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Southern Europe</p> </td> <td> <p>12</p> </td> </tr> <tr> <td> <p>Western Europe</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Oceania</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Australia and New Zealand</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Melanesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Micronesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Polynesia</p> </td> <td> <p>0</p> </td> </tr> </tbody> </table> <p><strong>Time series:</strong></p> <p>Only the 3-year average (2014-2016, 2015-17 and 2016-18) is provided.</p> <p><strong>Disaggregation:</strong></p> <p>As the FIES or any other compatible experience-based food security questionnaire is applied through surveys, the prevalence of food insecurity can be measured in any population group for which the survey used to collect data is representative.</p> <p>If applied at household level, disaggregation is thus possible based on household characteristics such as location, household income, composition (including for example presence and number of small children, members with disabilities, elderly members, etc.), sex, age and education of the household head, etc. If applied at the individual level, proper disaggregation of the prevalence of food insecurity by sex is possible as the prevalence of food insecurity among male and among female members of the same population group can be measured independently.</p> <p>When producing disaggregated statistics, attention must be devoted to verifying the validity of the application by estimating the Rasch model with the data from each specific subpopulation group and, if necessary, perform the appropriate equating of the measure before comparing results.</p> <p>It is good practice to associate a measure of variability (margins of error or upper and lower bound) when disaggregated data are produced.</p>
<h1>Disponibilidad de datos</h1>
<h2>Descripción:</h2> <p>Los datos de 2014, 2015, 2016, 2017 y 2018 están disponibles en la FAO para 137 países, áreas y territorios incluidos en la Encuesta Mundial de Gallup (GWP, por su sigla en inglés). Los agregados regionales y sub-regionales se calculan para todas las regiones, con la excepción de las regiones del Caribe y de Oceanía (ya que la mayoría de los pequeños estados insulares del Caribe y del Pacífico Sur no están cubiertos por la GWP) y de África Central (ya que se cubrió menos del 50% de la población regional). Los datos se han sometido a un proceso de consulta por países y sólo se publican los resultados validados por las oficinas nacionales de estadística a nivel nacional.</p> <p>Ya se dispone de datos compatibles con FIES procedentes de encuestas nacionales oficiales de Burkina Faso, Cabo Verde, Canadá, Chile, Ecuador, Estados Unidos de América, Federación de Rusia (2016-18), Ghana, Indonesia, Israel, Kenia, Malawi, Nigeria, Palestina, República de Corea (2014 y 2015), Santa Lucía y Seychelles.</p> <p>El desglose del número de países cubiertos por región es el siguiente:.</p> <table> <tbody> <tr> <td> <p>Mundo.</p> </td> <td> <p>137.</p> </td> </tr> <tr> <td> <p>África.</p> </td> <td> <p>39.</p> </td> </tr> <tr> <td> <p>África del Norte.</p> </td> <td> <p>5.</p> </td> </tr> <tr> <td> <p>África subsahariana.</p> </td> <td> <p>34.</p> </td> </tr> <tr> <td> <p>África Oriental.</p> </td> <td> <p>11.</p> </td> </tr> <tr> <td> <p>África Central.</p> </td> <td> <p>4.</p> </td> </tr> <tr> <td> <p>África del Sur.</p> </td> <td> <p>5.</p> </td> </tr> <tr> <td> <p>África Occidental.</p> </td> <td> <p>14.</p> </td> </tr> <tr> <td> <p>América.</p> </td> <td> <p>22.</p> </td> </tr> <tr> <td> <p>América Latina y el Caribe.</p> </td> <td> <p>20.</p> </td> </tr> <tr> <td> <p>Caribe.</p> </td> <td> <p>3.</p> </td> </tr> <tr> <td> <p>América Latina.</p> </td> <td> <p>17.</p> </td> </tr> <tr> <td> <p>América del Norte.</p> </td> <td> <p>2.</p> </td> </tr> <tr> <td> <p>Asia.</p> </td> <td> <p>36.</p> </td> </tr> <tr> <td> <p>Asia Central.</p> </td> <td> <p>4.</p> </td> </tr> <tr> <td> <p>Asia Oriental.</p> </td> <td> <p>4.</p> </td> </tr> <tr> <td> <p>Asia meridional.</p> </td> <td> <p>8.</p> </td> </tr> <tr> <td> <p>Sudeste de Asia.</p> </td> <td> <p>7.</p> </td> </tr> <tr> <td> <p>Asia occidental.</p> </td> <td> <p>13.</p> </td> </tr> <tr> <td> <p>Europa.</p> </td> <td> <p>39.</p> </td> </tr> <tr> <td> <p>Europa del Este.</p> </td> <td> <p>10.</p> </td> </tr> <tr> <td> <p>Europa del Norte.</p> </td> <td> <p>10.</p> </td> </tr> <tr> <td> <p>Europa del Sur.</p> </td> <td> <p>12.</p> </td> </tr> <tr> <td> <p>Europa Occidental.</p> </td> <td> <p>7.</p> </td> </tr> <tr> <td> <p>Oceanía.</p> </td> <td> <p>2.</p> </td> </tr> <tr> <td> <p>Australia y Nueva Zelanda.</p> </td> <td> <p>2.</p> </td> </tr> <tr> <td> <p>Melanesia.</p> </td> <td> <p>0.</p> </td> </tr> <tr> <td> <p>Micronesia.</p> </td> <td> <p>0.</p> </td> </tr> <tr> <td> <p>Polinesia.</p> </td> <td> <p>0.</p> </td> </tr> </tbody> </table> <h2>Series temporales:</h2> <p>Sólo se proporciona la media de 3 años (2014-2016, 2015-17 y 2016-18).</p> <h2>Desagregación:</h2> <p>Como la FIES o cualquier otro cuestionario de seguridad alimentaria basado en la experiencia compatible se aplica a través de encuestas, la prevalencia de la inseguridad alimentaria puede medirse en cualquier grupo de población para el que la encuesta utilizada para recopilar datos sea representativa.</p> <p>Si se aplica a nivel del hogar, es posible la desagregación en función de las características del hogar, como la ubicación, los ingresos del hogar, la composición (incluyendo, por ejemplo, la presencia y el número de niños pequeños, miembros con discapacidades, miembros de edad avanzada, etc.), el sexo, la edad y la educación del cabeza de familia, etc. Si se aplica a nivel individual, es posible desglosar adecuadamente la prevalencia de la inseguridad alimentaria por sexo, ya que la prevalencia de la inseguridad alimentaria entre los miembros masculinos y femeninos del mismo grupo de población puede medirse de forma independiente.</p> <p>Cuando se elaboran estadísticas desagregadas, se debe prestar atención a la verificación de la validez de la aplicación mediante la estimación del modelo de Rasch con los datos de cada grupo de sub-población específico y, si es necesario, realizar la equiparación adecuada de la medida antes de comparar los resultados.</p> <p>Es una buena práctica asociar una medida de variabilidad (márgenes de error o límite superior e inferior) cuando se producen datos desagregados.</p> |
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<p><strong>Data availability:</strong></p>
<p>Data for 2014, 2015,2016, 2017 and 2018 are available from FAO for 137 countries, areas and territories included in the Gallup World Poll. Regional and sub regional aggregates are computed for all regions, with the exceptions of the Caribbean and the Oceania regions (as most small island states in the Caribbean and in the South Pacific are not covered by the GWP) and Middle Africa (as less than 50% of the regional population was covered). Data have been subject to a country consultation process and only results validated by national statistical offices are published at country level. </p> <p>FIES compatible data from official national surveys are already available from Burkina Faso, Cabo Verde, Canada, Chile, Ecuador, Ghana, Indonesia, Israel, Kenya, Malawi, Nigeria, Palestine, Republic of Korea (2014 and 2015), Russian Federation (2016-18), Saint Lucia, Seychelles, United States of America. . </p> <p>Breakdown of the number of countries covered by region is as follows:</p> <table> <tbody> <tr> <td> <p>World</p> </td> <td> <p>137</p> </td> </tr> <tr> <td> <p>Africa</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Northern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Sub-Saharan Africa</p> </td> <td> <p>34</p> </td> </tr> <tr> <td> <p>Eastern Africa</p> </td> <td> <p>11</p> </td> </tr> <tr> <td> <p>Middle Africa</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Western Africa</p> </td> <td> <p>14</p> </td> </tr> <tr> <td> <p>Americas</p> </td> <td> <p>22</p> </td> </tr> <tr> <td> <p>Latin America and the Caribbean</p> </td> <td> <p>20</p> </td> </tr> <tr> <td> <p>Caribbean</p> </td> <td> <p>3</p> </td> </tr> <tr> <td> <p>Latin America</p> </td> <td> <p>17</p> </td> </tr> <tr> <td> <p>Northern America</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Asia</p> </td> <td> <p>36</p> </td> </tr> <tr> <td> <p>Central Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Eastern Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Asia</p> </td> <td> <p>8</p> </td> </tr> <tr> <td> <p>South-Eastern Asia</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Western Asia</p> </td> <td> <p>13</p> </td> </tr> <tr> <td> <p>Europe</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Eastern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Northern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Southern Europe</p> </td> <td> <p>12</p> </td> </tr> <tr> <td> <p>Western Europe</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Oceania</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Australia and New Zealand</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Melanesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Micronesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Polynesia</p> </td> <td> <p>0</p> </td> </tr> </tbody> </table> <p><strong>Time series:</strong></p> <p>Only the 3-year average (2014-2016, 2015-17 and 2016-18) is provided.</p> <p><strong>Disaggregation:</strong></p> <p>As the FIES or any other compatible experience-based food security questionnaire is applied through surveys, the prevalence of food insecurity can be measured in any population group for which the survey used to collect data is representative.</p> <p>If applied at household level, disaggregation is thus possible based on household characteristics such as location, household income, composition (including for example presence and number of small children, members with disabilities, elderly members, etc.), sex, age and education of the household head, etc. If applied at the individual level, proper disaggregation of the prevalence of food insecurity by sex is possible as the prevalence of food insecurity among male and among female members of the same population group can be measured independently.</p> <p>When producing disaggregated statistics, attention must be devoted to verifying the validity of the application by estimating the Rasch model with the data from each specific subpopulation group and, if necessary, perform the appropriate equating of the measure before comparing results.</p> <p>It is good practice to associate a measure of variability (margins of error or upper and lower bound) when disaggregated data are produced.</p> |
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<h2>Description:</h2 <p>Data for 2014, 2015,2016, 2017 and 2018 are available from FAO for 137 countries, areas and territories included in the Gallup World Poll. Regional and sub regional aggregates are computed for all regions, with the exceptions of the Caribbean and the Oceania regions (as most small island states in the Caribbean and in the South Pacific are not covered by the GWP) and Middle Africa (as less than 50% of the regional population was covered). Data have been subject to a country consultation process and only results validated by national statistical offices are published at country level. </p> <p>FIES compatible data from official national surveys are already available from <p>Breakdown of the number of countries covered by region is as follows:</p> <table> <tbody> <tr> <td> <p>World</p> </td> <td> <p>137</p> </td> </tr> <tr> <td> <p>Africa</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Northern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Sub-Saharan Africa</p> </td> <td> <p>34</p> </td> </tr> <tr> <td> <p>Eastern Africa</p> </td> <td> <p>11</p> </td> </tr> <tr> <td> <p>Middle Africa</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Africa</p> </td> <td> <p>5</p> </td> </tr> <tr> <td> <p>Western Africa</p> </td> <td> <p>14</p> </td> </tr> <tr> <td> <p>Americas</p> </td> <td> <p>22</p> </td> </tr> <tr> <td> <p>Latin America and the Caribbean</p> </td> <td> <p>20</p> </td> </tr> <tr> <td> <p>Caribbean</p> </td> <td> <p>3</p> </td> </tr> <tr> <td> <p>Latin America</p> </td> <td> <p>17</p> </td> </tr> <tr> <td> <p>Northern America</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Asia</p> </td> <td> <p>36</p> </td> </tr> <tr> <td> <p>Central Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Eastern Asia</p> </td> <td> <p>4</p> </td> </tr> <tr> <td> <p>Southern Asia</p> </td> <td> <p>8</p> </td> </tr> <tr> <td> <p>South-Eastern Asia</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Western Asia</p> </td> <td> <p>13</p> </td> </tr> <tr> <td> <p>Europe</p> </td> <td> <p>39</p> </td> </tr> <tr> <td> <p>Eastern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Northern Europe</p> </td> <td> <p>10</p> </td> </tr> <tr> <td> <p>Southern Europe</p> </td> <td> <p>12</p> </td> </tr> <tr> <td> <p>Western Europe</p> </td> <td> <p>7</p> </td> </tr> <tr> <td> <p>Oceania</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Australia and New Zealand</p> </td> <td> <p>2</p> </td> </tr> <tr> <td> <p>Melanesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Micronesia</p> </td> <td> <p>0</p> </td> </tr> <tr> <td> <p>Polynesia</p> </td> <td> <p>0</p> </td> </tr> </tbody> </table> < <p>Only the 3-year average (2014-2016, 2015-17 and 2016-18) is provided.</p> < <p>As the FIES or any other compatible experience-based food security questionnaire is applied through surveys, the prevalence of food insecurity can be measured in any population group for which the survey used to collect data is representative.</p> <p>If applied at household level, disaggregation is thus possible based on household characteristics such as location, household income, composition (including for example presence and number of small children, members with disabilities, elderly members, etc.), sex, age and education of the household head, etc. If applied at the individual level, proper disaggregation of the prevalence of food insecurity by sex is possible as the prevalence of food insecurity among male and among female members of the same population group can be measured independently.</p> <p>When producing disaggregated statistics, attention must be devoted to verifying the validity of the application by estimating the Rasch model with the data from each specific subpopulation group and, if necessary, perform the appropriate equating of the measure before comparing results.</p> <p>It is good practice to associate a measure of variability (margins of error or upper and lower bound) when disaggregated data are produced.</p> |
hernandanielmunoz
Translation added |
<p><strong>Data availability:</strong></p>
<p>Data for 2014-2020 are available from FAO for more than 140 countries, areas and territories included in the Gallup World Poll. </p> <p>Regional and sub regional aggregates are computed for all regions, with the exceptions of the Caribbean and the Middle Africa regions (as less than 50% of the regional population up to 2019 was covered). Both regions can be estimated only for 2020. Data have been subject to a country consultation process and only results validated by national statistical offices are published at country level.</p> <p><strong>Time series:</strong></p> <p>Only the 3-year average (2014-2016, 2015-17, 2016-18, 2017-19 and 2018-20) is provided for country level data. Annual values are provided for regional aggregates.</p> <p><strong>Disaggregation:</strong></p> <p>As the FIES or any other compatible experience-based food security questionnaire is applied through surveys, the prevalence of food insecurity can be measured in any population group for which the survey used to collect data is representative.</p> <p>If applied at household level, disaggregation is thus possible based on household characteristics such as location, household income, composition (including for example presence and number of small children, members with disabilities, elderly members, etc.), sex, age and education of the household head, etc. If applied at the individual level, proper disaggregation of the prevalence of food insecurity by sex is possible as the prevalence of food insecurity among male and among female members of the same population group can be measured independently.</p> <p>When producing disaggregated statistics, attention must be devoted to verifying the validity of the application by estimating the Rasch model with the data from each specific subpopulation group and, if necessary, perform the appropriate equating of the measure before comparing results.</p> <p>It is good practice to associate a measure of variability (margins of error or upper and lower bound) when disaggregated data are produced.</p> <p>At the moment, disaggregated statistics by gender of the respondent are provided.</p>
<h1>Disponibilidad de datos</h1>
<h2>Descripción:</h2> <p>Los datos de 2014, 2015, 2016, 2017 y 2018 están disponibles en la FAO para 137 países, áreas y territorios incluidos en la Encuesta Mundial de Gallup (GWP, por su sigla en inglés). Los agregados regionales y sub-regionales se calculan para todas las regiones, con la excepción de las regiones del Caribe y de Oceanía (ya que la mayoría de los pequeños estados insulares del Caribe y del Pacífico Sur no están cubiertos por la GWP) y de África Central (ya que se cubrió menos del 50% de la población regional). Los datos se han sometido a un proceso de consulta por países y sólo se publican los resultados validados por las oficinas nacionales de estadística a nivel nacional.</p> <p>Ya se dispone de datos compatibles con FIES procedentes de encuestas nacionales oficiales de Burkina Faso, Cabo Verde, Canadá, Chile, Ecuador, Estados Unidos de América, Federación de Rusia (2016-18), Ghana, Indonesia, Israel, Kenia, Malawi, Nigeria, Palestina, República de Corea (2014 y 2015), Santa Lucía y Seychelles.</p> <p>El desglose del número de países cubiertos por región es el siguiente:.</p> <table> <tbody> <tr> <td> <p>Mundo.</p> </td> <td> <p>137.</p> </td> </tr> <tr> <td> <p>África.</p> </td> <td> <p>39.</p> </td> </tr> <tr> <td> <p>África del Norte.</p> </td> <td> <p>5.</p> </td> </tr> <tr> <td> <p>África subsahariana.</p> </td> <td> <p>34.</p> </td> </tr> <tr> <td> <p>África Oriental.</p> </td> <td> <p>11.</p> </td> </tr> <tr> <td> <p>África Central.</p> </td> <td> <p>4.</p> </td> </tr> <tr> <td> <p>África del Sur.</p> </td> <td> <p>5.</p> </td> </tr> <tr> <td> <p>África Occidental.</p> </td> <td> <p>14.</p> </td> </tr> <tr> <td> <p>América.</p> </td> <td> <p>22.</p> </td> </tr> <tr> <td> <p>América Latina y el Caribe.</p> </td> <td> <p>20.</p> </td> </tr> <tr> <td> <p>Caribe.</p> </td> <td> <p>3.</p> </td> </tr> <tr> <td> <p>América Latina.</p> </td> <td> <p>17.</p> </td> </tr> <tr> <td> <p>América del Norte.</p> </td> <td> <p>2.</p> </td> </tr> <tr> <td> <p>Asia.</p> </td> <td> <p>36.</p> </td> </tr> <tr> <td> <p>Asia Central.</p> </td> <td> <p>4.</p> </td> </tr> <tr> <td> <p>Asia Oriental.</p> </td> <td> <p>4.</p> </td> </tr> <tr> <td> <p>Asia meridional.</p> </td> <td> <p>8.</p> </td> </tr> <tr> <td> <p>Sudeste de Asia.</p> </td> <td> <p>7.</p> </td> </tr> <tr> <td> <p>Asia occidental.</p> </td> <td> <p>13.</p> </td> </tr> <tr> <td> <p>Europa.</p> </td> <td> <p>39.</p> </td> </tr> <tr> <td> <p>Europa del Este.</p> </td> <td> <p>10.</p> </td> </tr> <tr> <td> <p>Europa del Norte.</p> </td> <td> <p>10.</p> </td> </tr> <tr> <td> <p>Europa del Sur.</p> </td> <td> <p>12.</p> </td> </tr> <tr> <td> <p>Europa Occidental.</p> </td> <td> <p>7.</p> </td> </tr> <tr> <td> <p>Oceanía.</p> </td> <td> <p>2.</p> </td> </tr> <tr> <td> <p>Australia y Nueva Zelanda.</p> </td> <td> <p>2.</p> </td> </tr> <tr> <td> <p>Melanesia.</p> </td> <td> <p>0.</p> </td> </tr> <tr> <td> <p>Micronesia.</p> </td> <td> <p>0.</p> </td> </tr> <tr> <td> <p>Polinesia.</p> </td> <td> <p>0.</p> </td> </tr> </tbody> </table> <h2>Series temporales:</h2> <p>Sólo se proporciona la media de 3 años (2014-2016, 2015-17 y 2016-18).</p> <h2>Desagregación:</h2> <p>Como la FIES o cualquier otro cuestionario de seguridad alimentaria basado en la experiencia compatible se aplica a través de encuestas, la prevalencia de la inseguridad alimentaria puede medirse en cualquier grupo de población para el que la encuesta utilizada para recopilar datos sea representativa.</p> <p>Si se aplica a nivel del hogar, es posible la desagregación en función de las características del hogar, como la ubicación, los ingresos del hogar, la composición (incluyendo, por ejemplo, la presencia y el número de niños pequeños, miembros con discapacidades, miembros de edad avanzada, etc.), el sexo, la edad y la educación del cabeza de familia, etc. Si se aplica a nivel individual, es posible desglosar adecuadamente la prevalencia de la inseguridad alimentaria por sexo, ya que la prevalencia de la inseguridad alimentaria entre los miembros masculinos y femeninos del mismo grupo de población puede medirse de forma independiente.</p> <p>Cuando se elaboran estadísticas desagregadas, se debe prestar atención a la verificación de la validez de la aplicación mediante la estimación del modelo de Rasch con los datos de cada grupo de sub-población específico y, si es necesario, realizar la equiparación adecuada de la medida antes de comparar los resultados.</p> <p>Es una buena práctica asociar una medida de variabilidad (márgenes de error o límite superior e inferior) cuando se producen datos desagregados.</p> |
Things to check
Key
COVERAGEFlags
ignore-inconsistent
<p>Data for 2014-2020 are available from FAO for more than 140 countries, areas and territories included in the Gallup World Poll. </p>
<p>Regional and sub regional aggregates are computed for all regions, with the exceptions of the Caribbean and the Middle Africa regions (as less than 50% of the regional population up to 2019 was covered). Both regions can be estimated only for 2020. Data have been subject to a country consultation process and only results validated by national statistical offices are published at country level.</p>
<p><strong>Time series:</strong></p>
<p>Only the 3-year average (2014-2016, 2015-17, 2016-18, 2017-19 and 2018-20) is provided for country level data. Annual values are provided for regional aggregates.</p>
<p><strong>Disaggregation:</strong></p>
<p>As the FIES or any other compatible experience-based food security questionnaire is applied through surveys, the prevalence of food insecurity can be measured in any population group for which the survey used to collect data is representative.</p>
<p>If applied at household level, disaggregation is thus possible based on household characteristics such as location, household income, composition (including for example presence and number of small children, members with disabilities, elderly members, etc.), sex, age and education of the household head, etc. If applied at the individual level, proper disaggregation of the prevalence of food insecurity by sex is possible as the prevalence of food insecurity among male and among female members of the same population group can be measured independently.</p>
<p>When producing disaggregated statistics, attention must be devoted to verifying the validity of the application by estimating the Rasch model with the data from each specific subpopulation group and, if necessary, perform the appropriate equating of the measure before comparing results.</p>
<p>It is good practice to associate a measure of variability (margins of error or upper and lower bound) when disaggregated data are produced.</p>
<p>At the moment, disaggregated statistics by gender of the respondent are provided.</p>
<h2>Descripción:</h2>
<p>Los datos de 2014, 2015, 2016, 2017 y 2018 están disponibles en la FAO para 137 países, áreas y territorios incluidos en la Encuesta Mundial de Gallup (GWP, por su sigla en inglés). Los agregados regionales y sub-regionales se calculan para todas las regiones, con la excepción de las regiones del Caribe y de Oceanía (ya que la mayoría de los pequeños estados insulares del Caribe y del Pacífico Sur no están cubiertos por la GWP) y de África Central (ya que se cubrió menos del 50% de la población regional). Los datos se han sometido a un proceso de consulta por países y sólo se publican los resultados validados por las oficinas nacionales de estadística a nivel nacional.</p>
<p>Ya se dispone de datos compatibles con FIES procedentes de encuestas nacionales oficiales de Burkina Faso, Cabo Verde, Canadá, Chile, Ecuador, Estados Unidos de América, Federación de Rusia (2016-18), Ghana, Indonesia, Israel, Kenia, Malawi, Nigeria, Palestina, República de Corea (2014 y 2015), Santa Lucía y Seychelles.</p>
<p>El desglose del número de países cubiertos por región es el siguiente:.</p>
<table>
<tbody>
<tr>
<td>
<p>Mundo.</p>
</td>
<td>
<p>137.</p>
</td>
</tr>
<tr>
<td>
<p>África.</p>
</td>
<td>
<p>39.</p>
</td>
</tr>
<tr>
<td>
<p>África del Norte.</p>
</td>
<td>
<p>5.</p>
</td>
</tr>
<tr>
<td>
<p>África subsahariana.</p>
</td>
<td>
<p>34.</p>
</td>
</tr>
<tr>
<td>
<p>África Oriental.</p>
</td>
<td>
<p>11.</p>
</td>
</tr>
<tr>
<td>
<p>África Central.</p>
</td>
<td>
<p>4.</p>
</td>
</tr>
<tr>
<td>
<p>África del Sur.</p>
</td>
<td>
<p>5.</p>
</td>
</tr>
<tr>
<td>
<p>África Occidental.</p>
</td>
<td>
<p>14.</p>
</td>
</tr>
<tr>
<td>
<p>América.</p>
</td>
<td>
<p>22.</p>
</td>
</tr>
<tr>
<td>
<p>América Latina y el Caribe.</p>
</td>
<td>
<p>20.</p>
</td>
</tr>
<tr>
<td>
<p>Caribe.</p>
</td>
<td>
<p>3.</p>
</td>
</tr>
<tr>
<td>
<p>América Latina.</p>
</td>
<td>
<p>17.</p>
</td>
</tr>
<tr>
<td>
<p>América del Norte.</p>
</td>
<td>
<p>2.</p>
</td>
</tr>
<tr>
<td>
<p>Asia.</p>
</td>
<td>
<p>36.</p>
</td>
</tr>
<tr>
<td>
<p>Asia Central.</p>
</td>
<td>
<p>4.</p>
</td>
</tr>
<tr>
<td>
<p>Asia Oriental.</p>
</td>
<td>
<p>4.</p>
</td>
</tr>
<tr>
<td>
<p>Asia meridional.</p>
</td>
<td>
<p>8.</p>
</td>
</tr>
<tr>
<td>
<p>Sudeste de Asia.</p>
</td>
<td>
<p>7.</p>
</td>
</tr>
<tr>
<td>
<p>Asia occidental.</p>
</td>
<td>
<p>13.</p>
</td>
</tr>
<tr>
<td>
<p>Europa.</p>
</td>
<td>
<p>39.</p>
</td>
</tr>
<tr>
<td>
<p>Europa del Este.</p>
</td>
<td>
<p>10.</p>
</td>
</tr>
<tr>
<td>
<p>Europa del Norte.</p>
</td>
<td>
<p>10.</p>
</td>
</tr>
<tr>
<td>
<p>Europa del Sur.</p>
</td>
<td>
<p>12.</p>
</td>
</tr>
<tr>
<td>
<p>Europa Occidental.</p>
</td>
<td>
<p>7.</p>
</td>
</tr>
<tr>
<td>
<p>Oceanía.</p>
</td>
<td>
<p>2.</p>
</td>
</tr>
<tr>
<td>
<p>Australia y Nueva Zelanda.</p>
</td>
<td>
<p>2.</p>
</td>
</tr>
<tr>
<td>
<p>Melanesia.</p>
</td>
<td>
<p>0.</p>
</td>
</tr>
<tr>
<td>
<p>Micronesia.</p>
</td>
<td>
<p>0.</p>
</td>
</tr>
<tr>
<td>
<p>Polinesia.</p>
</td>
<td>
<p>0.</p>
</td>
</tr>
</tbody>
</table>
<h2>Series temporales:</h2>
<p>Sólo se proporciona la media de 3 años (2014-2016, 2015-17 y 2016-18).</p>
<h2>Desagregación:</h2>
<p>Como la FIES o cualquier otro cuestionario de seguridad alimentaria basado en la experiencia compatible se aplica a través de encuestas, la prevalencia de la inseguridad alimentaria puede medirse en cualquier grupo de población para el que la encuesta utilizada para recopilar datos sea representativa.</p>
<p>Si se aplica a nivel del hogar, es posible la desagregación en función de las características del hogar, como la ubicación, los ingresos del hogar, la composición (incluyendo, por ejemplo, la presencia y el número de niños pequeños, miembros con discapacidades, miembros de edad avanzada, etc.), el sexo, la edad y la educación del cabeza de familia, etc. Si se aplica a nivel individual, es posible desglosar adecuadamente la prevalencia de la inseguridad alimentaria por sexo, ya que la prevalencia de la inseguridad alimentaria entre los miembros masculinos y femeninos del mismo grupo de población puede medirse de forma independiente.</p>
<p>Cuando se elaboran estadísticas desagregadas, se debe prestar atención a la verificación de la validez de la aplicación mediante la estimación del modelo de Rasch con los datos de cada grupo de sub-población específico y, si es necesario, realizar la equiparación adecuada de la medida antes de comparar los resultados.</p>
<p>Es una buena práctica asociar una medida de variabilidad (márgenes de error o límite superior e inferior) cuando se producen datos desagregados.</p>