This dataset tracks annual white student percentage from 2000 to 2003 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

Historical Dataset of Carlos Rosario International Pcs Harvard Street Campus is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2000-2018),Total Classroom Teachers Trends Over Years (2007-2012),Asian Student Percentage Comparison Over Years (2003-2006),Hispanic Student Percentage Comparison Over Years (2000-2006),Black Student Percentage Comparison Over Years (2000-2006),White Student Percentage Comparison Over Years (2000-2003),Diversity Score Comparison Over Years (2000-2006)

This dataset tracks annual asian student percentage from 2003 to 2006 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

This dataset tracks annual black student percentage from 2000 to 2006 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

This dataset tracks annual hispanic student percentage from 2000 to 2006 for Carlos Rosario International Pcs Harvard Street Campus vs. District Of Columbia and Carlos Rosario International Public Charter School District

The Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems was one of four pilot studies undertaken as precursors to the Millennium Ecosystem Assessment. The study identifies linkages between crop production systems and environmental services such as food, soil resources, water, biodiversity, and carbon cycling, in the hopes that a better understanding of these linkages might lead to policies that can contribute both to improved food output and to improved ecosystem service provision. Th e PAGE Agroecosystems report includes a series of 24 maps that provide a detailed spatial perspective on agroecosystems a nd agroecosystem services. Pilot Analysis of Global Ecosystems (PAGE): Agroecosystems Dataset offers the 9 geospatial datasets used to build these maps. The datasets are: PAGE Global Agricultural Extent. The data describe the location and extent of global agriculture and are derived from GLLCCD 1998; USGS EDC1999a. PAGE Global Agricultural Extent version 2. The data are an update of the original PAGE Global Agricultural Extent, based on version 2 of the Global Land Cover Characteristics Dataset (GLCCD v2.0, USGS/EDC 2000). The methods used to create this dataset were the same as those employed to create the origina l PAGE Global Agricultural Extent. Mask of the Global Extent of Agriculture. This dataset displays the global extent of agricultural areas as defined by the PAGE study. The other datasets made available on this site (eg. tree cover, soil carbon, area free of soil constraints) only show values for areas within this agricultural extent. PAGE Global Agroecosystems. These data characterize agroecosystems, defined as "a biological and natural resource system managed by humans for the primary purpose of producing food as well as other socially valuable nonfood products and environmental services." Percentage Tree Cover within the Extent of Agriculture. This is a raster dataset that shows the proportion of land area within the PAGE agricultural extent that is occupied by "woody vegetation" (mature vegetation whose approximate height is greater than 5 meters). Carbon Storage in Soils within the PAGE Agricultural Extent. The data give a global estimate of soil organic carbon storage in agricultural lands, calculated by applying Batjes' (1996 and 2000) soil organic carbon content values by soil type area share of each 5 x 5 minute of the Digital Soil Map of the World (FAO 1995). Agriculture Share of Watershed. This dataset depicts agricultural area as a share of total watershed area. The share of each watershed that is agricultural was calculated by applying a weighted percentage to each PAGE agricultural land cover class. Area Free of Soil Constraints. The data show the proportional area within the PAGE agricultural extent that is free from soil constraints. The area free of soil constraints is based on fertility capability classification (FCC) app lied to FAO's Digital Soil Map of the World (1995). Outline of Land and Water Area. These data are used to provide a boundary for land areas and facilitate the readability of maps.

This dataset provides annual data for Iran from 1995 to 2023 and includes the following variables: • Load-Capacity Factor (CF): calculated as the ratio of biocapacity per capita to ecological footprint per capita (both in global hectares, gha). For each year, CF = Biocapacity per capita / Ecological Footprint per capita. Data for both components were sourced from the Global Footprint Network. • External Debt (ED): total external debt stock as a percentage of GNI. • GDP Growth Rate (EGDP): annual percentage growth rate of GDP. • Natural Resource Rents (NNR): total natural resource rents as a percentage of GDP. • Renewable Energy Consumption (REC): share of renewables in total final energy consumption (percent). All data are compiled from the World Bank and the Global Footprint Network, fully cleaned, and provided in an Excel file suitable for quantitative research on Iran’s environmental and economic trends.

The Global Hunger Index (GHI) is a tool designed to comprehensively measure and track hunger globally and by region and country. Calculated each year by the International Food Policy Research Institute (IFPRI), the GHI highlights successes and failures in hunger reduction and provide insights into the drivers of hunger, and food and nutrition security. The 2014 GHI has been calculated for 120 countries for which data on the three component indicators are available and for which measuring hung er is considered most relevant. The GHI calculation excludes some higher income countries because the prevalence of hunger there is very low. The GHI is only as current as the data for its three component indicators. This year's GHI reflects the most recent available country level data for the three component indicators spanning the period 2009 to 2013. Besides the most recent GHI scores, this dataset also contains the GHI scores for four other reference periods- 1990, 1995, 2000, and 2005. A country's GHI score is calculated by averaging the percentage of the population that is undernourished, the percentage of children youn ger than five years old who are underweight, and the percentage of children dying before the age of five. This calculation results in a 100 point scale on which zero is the best score (no hunger) and 100 the worst, although neither of these extremes is reached in practice. The three component indicators used to calculate the GHI scores draw upon data from the following sources: 1. Undernourishment: Updated data from the Food and Agriculture Organization of the United Nations (FAO) were used for the 1990, 1995, 2000, 2005, and 2014GHI scores. Undernourishment data for the 2014 GHI are for 2011-2013. 2. Child underweight: The "child underweight" component indicator of the GHI scores includes the latest additions to the World Health Organization's (WHO) Global Database on Child Growth and Malnutrition, and additional data from the joint data base by the United Nations Children's Fund (UNICEF), WHO and the World Bank; the most recent Demographic and Health Survey (DHS) and Multiple Indicator Cluster Survey reports; and statistical tables from UNICEF. For the 2014 GHI, data on child underweight are for the latest year for which data are available in the period 2009-2014. 3. Child mortality: Updated data from the UN Inter-agency Group for Child Mortality Estimation were used for the 1990, 1995, 2000, and 2005, and 2014 GHI scores. For the 2014 GHI, data on child mortality are for 2012. Resources related to 2014 Global Hunger Index

If we open a random political science journal, we have a roughly two to one chance that the article is written by a man. Beyond this general finding, we know very little about the gender gaps within political science knowledge production: are women more represented in lower or higher ranked journals? Do they publish more single- or multi-author papers? Do they publish more content in some fields than in others? Analysing an original dataset based on the International Political Science Abstracts from 2022 comprising more than 7000 articles and more than 13,000 authors in political science from around the world, this article provides answers to these questions. We find no difference in the percentage of female authors between more highly ranked and lower-ranked journals. We find a slightly higher propensity among women to publish in teams. When it comes to subfields of study, women are particularly underrepresented in the field of political theory, where women only publish 21.6 percent of all published articles, which is a deviation of roughly 12 percentage points from the overall average.

An impact assessment (IA) study was conducted in Rwanda in 2015 to determine the adoption and diffusion rates of high iron beans (HIB) varieties after eight seasons of active dissemination; understand HIB adoption and diffusion patterns across varieties and over time (the percentage of farmers currently planting, the percentage rate of addition, the percentage rate of dropout, the percentage of bean area currently under HIB, and so forth); and assess the socioeconomic and nutrition impacts resulting from HIB adoption. A nationally representative listing exercise preceded the main household survey for the impact assessment. The listing exercise was conducted across 120 rural villages in 29 provinces of Rwanda and was administered to a total of 19,575 households. The data included here are from both the listing exercise and the main impact assessment survey.

This paper presents the results of a financial intervention in northwestern Bangladesh intended to promote out-migration to nearby urban areas during the lean season before harvest in order to mitigate famine (monga). This is in order to understand whether this is a viable mitigation strategy, and if so why it has not been employed more often. We randomly assign an $8.50 incentive to households in Bangladesh to out-migrate during the lean season, and document a set of striking facts. The incentive induces 22% of households to send a seasonal migrant, consumption at the origin increases by 30% (550-700 calories per person per day) for the family members of induced migrants, and follow-up data show that treated households continue to re-migrate at a higher rate after the incentive is removed. The migration rate is 10 percentage points higher in treatment areas a year later, and three years later it is still 8 percentage points higher.