Chart and table of population level and growth rate for the Los Angeles metro area from 1950 to 2025.

For the past several censuses, the Census Bureau has invited people to self-respond before following up in-person using census takers. The 2010 Census invited people to self-respond predominately by returning paper questionnaires in the mail. The 2020 Census allows people to self-respond in three ways: online, by phone, or by mail.The 2020 Census self-response rates are self-response rates for current census geographies. These rates are the daily and cumulative self-response rates for all housing units that received invitations to self-respond to the 2020 Census. The 2020 Census self-response rates are available for states, counties, census tracts, congressional districts, towns and townships, consolidated cities, incorporated places, tribal areas, and tribal census tracts.The Self-Response Rate of Los Angeles County is 65.1% for 2020 Census, which is slightly lower than 69.6% of California State rate.More information about these data is available in the Self-Response Rates Map Data and Technical Documentation document associated with the 2020 Self-Response Rates Map or review FAQs.Animated Self-Response Rate 2010 vs 2020 is available at ESRI site SRR Animated Maps and can explore Census 2020 SRR data at ESRI Demographic site Census 2020 SSR Data.Following Demographic Characteristics are included in this data and web maps to visualize their relationships with Census Self-Response Rate (SRR).1. Population Density: 2020 Population per square mile,2. Poverty Rate: Percentage of population under 100% FPL,3. Median Household income: Based on countywide median HH income of $71,538.4. Highschool Education Attainment: Percentage of 18 years and older population without high school graduation.5. English Speaking Ability: Percentage of 18 years and older population with less or none English speaking ability. 6. Household without Internet Access: Percentage of HH without internet access.7. Non-Hispanic White Population: Percentage of Non-Hispanic White population.8. Non-Hispanic African-American Population: Percentage of Non-Hispanic African-American population.9. Non-Hispanic Asian Population: Percentage of Non-Hispanic Asian population.10. Hispanic Population: Percentage of Hispanic population.

The Global Human Footprint dataset of the Last of the Wild Project, version 2, 2005 (LWPv2) is the Human Influence Index (HII) normalized by biome and realm. The HII is a global dataset of 1 km grid cells, created from nine global data layers covering human population pressure (population density), human land use and infraestructure (built-up areas, nighttime lights, land use/land cover) and human access (coastlines, roads, navigable rivers).The Human Footprint Index (HF) map, expresses as a percentage the relative human influence in each terrestrial biome. HF values from 0 to 100. A value of zero represents the least influence -the "most wild" part of the biome with value of 100 representing the most influence (least wild) part of the biome.

This map uses smart mapping to show the density of transit stops in Los Angeles, CA. The stops provide information about the surrounding population of each stop.The LA Transit Stops layer displays transit stops with the following information about the population within a 5 minute walk of each transit stop:PopulationPercent employedPercent of seniorsPercent minoritiesNumber of householdsPercent below the poverty linePoverty indexDiversity indexRaceThe layer was created using Esri's Enrich Layer tool in ArcGIS Online.

The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. There are 2,644 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes. This file includes revisions made to the 2020 Census New Orleans, LA Urban Area where the territory originally delineated as the 2020 Census Laplace--Lutcher--Gramercy, LA Urban Area was combined with the 2020 Census New Orleans, LA Urban Area to form the current New Orleans, LA Urban Area. This file includes revisions made to the 2020 Census Atlanta, GA Urban Area and Gainesville, GA Urban Area, where some urban territory originally designated to the Gainesville, GA Urban Area was reassigned to the Atlanta, GA Urban Area.

For the past several censuses, the Census Bureau has invited people to self-respond before following up in-person using census takers. The 2010 Census invited people to self-respond predominately by returning paper questionnaires in the mail. The 2020 Census allows people to self-respond in three ways: online, by phone, or by mail.The 2020 Census self-response rates are self-response rates for current census geographies. These rates are the daily and cumulative self-response rates for all housing units that received invitations to self-respond to the 2020 Census. The 2020 Census self-response rates are available for states, counties, census tracts, congressional districts, towns and townships, consolidated cities, incorporated places, tribal areas, and tribal census tracts.The Self-Response Rate of Los Angeles County is 65.1% for 2020 Census, which is slightly lower than 69.6% of California State rate.More information about these data is available in the Self-Response Rates Map Data and Technical Documentation document associated with the 2020 Self-Response Rates Map or review FAQs.Animated Self-Response Rate 2010 vs 2020 is available at ESRI site SRR Animated Maps and can explore Census 2020 SRR data at ESRI Demographic site Census 2020 SSR Data.Following Demographic Characteristics are included in this data and web maps to visualize their relationships with Census Self-Response Rate (SRR).1. Population Density: 2020 Population per square mile,2. Poverty Rate: Percentage of population under 100% FPL,3. Median Household income: Based on countywide median HH income of $71,538.4. Highschool Education Attainment: Percentage of 18 years and older population without high school graduation.5. English Speaking Ability: Percentage of 18 years and older population with less or none English speaking ability. 6. Household without Internet Access: Percentage of HH without internet access.7. Non-Hispanic White Population: Percentage of Non-Hispanic White population.8. Non-Hispanic African-American Population: Percentage of Non-Hispanic African-American population.9. Non-Hispanic Asian Population: Percentage of Non-Hispanic Asian population.10. Hispanic Population: Percentage of Hispanic population.

50 year Projected Urban Growth scenarios. Base year is 2000. Projected year in this dataset is 2050.

By 2020, most forecasters agree, California will be home to between 43 and 46 million residents-up from 35 million today. Beyond 2020 the size of California's population is less certain. Depending on the composition of the population, and future fertility and migration rates, California's 2050 population could be as little as 50 million or as much as 70 million. One hundred years from now, if present trends continue, California could conceivably have as many as 90 million residents. Where these future residents will live and work is unclear. For most of the 20th Century, two-thirds of Californians have lived south of the Tehachapi Mountains and west of the San Jacinto Mountains-in that part of the state commonly referred to as Southern California. Yet most of coastal Southern California is already highly urbanized, and there is relatively little vacant land available for new development. More recently, slow-growth policies in Northern California and declining developable land supplies in Southern California are squeezing ever more of the state's population growth into the San Joaquin Valley. How future Californians will occupy the landscape is also unclear. Over the last fifty years, the state's population has grown increasingly urban. Today, nearly 95 percent of Californians live in metropolitan areas, mostly at densities less than ten persons per acre. Recent growth patterns have strongly favored locations near freeways, most of which where built in the 1950s and 1960s. With few new freeways on the planning horizon, how will California's future growth organize itself in space? By national standards, California's large urban areas are already reasonably dense, and economic theory suggests that densities should increase further as California's urban regions continue to grow. In practice, densities have been rising in some urban counties, but falling in others.

These are important issues as California plans its long-term future. Will California have enough land of the appropriate types and in the right locations to accommodate its projected population growth? Will future population growth consume ever-greater amounts of irreplaceable resource lands and habitat? Will jobs continue decentralizing, pushing out the boundaries of metropolitan areas? Will development densities be sufficient to support mass transit, or will future Californians be stuck in perpetual gridlock? Will urban and resort and recreational growth in the Sierra Nevada and Trinity Mountain regions lead to the over-fragmentation of precious natural habitat? How much water will be needed by California's future industries, farms, and residents, and where will that water be stored? Where should future highway, transit, and high-speed rail facilities and rights-of-way be located? Most of all, how much will all this growth cost, both economically, and in terms of changes in California's quality of life? Clearly, the more precise our current understanding of how and where California is likely to grow, the sooner and more inexpensively appropriate lands can be acquired for purposes of conservation, recreation, and future facility siting. Similarly, the more clearly future urbanization patterns can be anticipated, the greater our collective ability to undertake sound city, metropolitan, rural, and bioregional planning.

Consider two scenarios for the year 2100. In the first, California's population would grow to 80 million persons and would occupy the landscape at an average density of eight persons per acre, the current statewide urban average. Under this scenario, and assuming that 10% percent of California's future population growth would occur through infill-that is, on existing urban land-California's expanding urban population would consume an additional 5.06 million acres of currently undeveloped land. As an alternative, assume the share of infill development were increased to 30%, and that new population were accommodated at a density of about 12 persons per acre-which is the current average density of the City of Los Angeles. Under this second scenario, California's urban population would consume an additional 2.6 million acres of currently undeveloped land. While both scenarios accommodate the same amount of population growth and generate large increments of additional urban development-indeed, some might say even the second scenario allows far too much growth and development-the second scenario is far kinder to California's unique natural landscape.

This report presents the results of a series of baseline population and urban growth projections for California's 38 urban counties through the year 2100. Presented in map and table form, these projections are based on extrapolations of current population trends and recent urban development trends. The next section, titled Approach, outlines the methodology and data used to develop the various projections. The following section, Baseline Scenario, reviews the projections themselves. A final section, entitled Baseline Impacts, quantitatively assesses the impacts of the baseline projections on wetland, hillside, farmland and habitat loss.

Zoning is a locally regulated law that is used as a guideline for land management control and conformity by establishing specific policy that must be followed in the use of land and buildings. Zoning asserts explicit uses that are permitted under varying circumstances. It dictates reasonable development by protecting property from detrimental uses on nearby properties. Zoning also standardizes the size of lots, the building set backs from roads or adjoining property, maximum height of buildings, the population density, and other land use issues.Zoning is used to designate, regulate and restrict the location and use of buildings, structures and land, for agriculture, residence, commerce, trade, industry or other purposes; to regulate and limit the height, number of stories, and size of buildings and other structures hereafter erected or altered to regulate and determine the size of yards and other open spaces and to regulate and limit the density of population; and for said purposes to divide the City into zones of such number, shape and area as may be deemed best suited to carry out these regulations and provide for their enforcement. These regulations are deemed necessary in order to encourage the most appropriate use of land; to conserve and stabilize the value of property; to provide adequate open spaces for light and air, and to prevent and fight fires; to prevent undue concentration of population; to lessen congestion on streets; to facilitate adequate provisions for community utilities and facilities such as transportation, water, sewerage, schools, parks and other public requirements; and to promote health, safety, and the general welfare all in accordance with the comprehensive plan.For more information, please refer to Section 12.04 of the Los Angeles Planning and Zoning Municipal Code and the Generalized Summary of Zoning Regulations, City of Los Angeles.Refresh Rate: Monthly

Monaco led the ranking for countries with the highest population density in 2024, with nearly 26,000 residents per square kilometer. The Special Administrative Region of Macao came in second, followed by Singapore. The world’s second smallest country Monaco is the world’s second-smallest country, with an area of about two square kilometers and a population of only around 40,000. It is a constitutional monarchy located by the Mediterranean Sea, and while Monaco is not part of the European Union, it does participate in some EU policies. The country is perhaps most famous for the Monte Carlo casino and for hosting the Monaco Grand Prix, the world's most prestigious Formula One race. The global population Globally, the population density per square kilometer is about 60 inhabitants, and Asia is the most densely populated region in the world. The global population is increasing rapidly, so population density is only expected to increase. In 1950, for example, the global population stood at about 2.54 billion people, and it reached over eight billion during 2023.

Indicador de vulnerabilidad. La densidad de población por municipio se obtiene de forma sencilla a partir de la población y el área de cada municipio. A partir de ésta se puede graduar la exposición en niveles. Datos desde 1998Fuente: NASTATPeriodicidad: Anual

OverviewThese are the Homeless Counts for 2020 as provided by the Los Angeles Homeless Services Authority (LAHSA), and the cities of Glendale, Pasadena, and Long Beach. The majority of this data comes from LAHSA using tract-level counts; the cities of Glendale, Pasadena, and Long Beach did not have tract-level counts available. The purpose of this layer is to depict homeless density at a community scale. Please read the note from LAHSA below regarding the tract level counts. In this layer LAHSA's tract-level population count was rounded to the nearest whole number, and density was determined per square mile of each community. It should be noted that not all of the sub-populations captured from LAHSA (eg. people living in vans, unaccompanied minors, etc.) are not captured here; only sheltered, unsheltered, and total population. Data generated on 12/2/20.Countywide Statistical AreasLos Angeles County's 'Countywide Statistical Areas' layer was used to classify the city / community names. Since this is tract-level data there are several times where a tract is in more than one city/community. Whatever the majority of the coverage of a tract is, that is the community that got coded. The boundaries of these communities follow aggregated tract boundaries and will therefore often deviate from the 'Countywide Statistical Area' boundaries.Note from LAHSALAHSA does not recommend aggregating census tract-level data to calculate numbers for other geographic levels. Due to rounding, the census tract-level data may not add up to the total for Los Angeles City Council District, Supervisorial District, Service Planning Area, or the Los Angeles Continuum of Care.The Los Angeles Continuum of Care does not include the Cities of Long Beach, Glendale, and Pasadena and will not equal the countywide Homeless Count Total.Street Count Data include persons found outside, including persons found living in cars, vans, campers/RVs, tents, and makeshift shelters. A conversion factor list can be found at https://www.lahsa.org/homeless-count/Please visit https://www.lahsa.org/homeless-count/home to view and download data.Last updated 07/16/2020

A set of 20 map sheets: 1. Avant la transmigration = Before transmigration = Sebelum masa transmigrasi 1920-1930. Scale of 1:500 000. Date of publication: 1989. 2. Bourgs et petites villes = Market town and secondary urban centres = Kota dan desa yang berkembang. Scale of 1:500 000. Date of publication: 1989. 3. Carte de localisation = Reference map = Peta umum. Scale of 1:500 000. Date of publication: 1989. 4. Données climatiques = Climatic data = Data iklim. Scale of 1:1 000 000. Date of publication: 1989. 5. Evolution de la population = Evolution of the population = Evolusi kependudukann 1980-1986. Scale of 1:500 000. Date of publication: 1989. 6. Groupes humains : carte de détail = Human groups : detail map = Kelompok suku bangsa : peta terperinci. Scale of 1:250 000. Date of publication: 1989. 7. Groupes humains = Human groups = Kelompok suku bangsa. Scale of 1:500 000. Date of publication: 1989. 8. Occupation du sol = Land use = Penggunaan tanah 1969. Scale of 1:250 000. Date of publication: 1989. 9. Occupation du sol = Land use = Penggunaan tanah 1980-1985. Scale of 1:250 000. Date of publication: 1987. 10. Peuplement et occupation de l'espace = Settlement and land use = Tahap penyebaran penduduk dan pemukiman daerah 1905-1985. Scale of 1:500 000. Date of publication: 1989. 11. Population : densité et structures = Density and sructures = kepadatan penduduk dan komposisi kependudukan. Scale of 1:1 000 000. Date of publication: 1989. 12. Propositions d'aménagement régional = Proposals for regional development = Saran untuk pembangunan daerah. Scale of 1:1 600 000. Date of publication: 1989. 13. Répartition de la population = Population distribution = Penyebaran penduduk 1980. Scale of 1:500 000. Date of publication: 1989. 14. Réseaux d'irrigation et de drainage = Irrigation and drainage networks = Jaringan irigasi dan drainase. Scale of 1:500 000. Date of publication: 1989. 15. Systèmes de production = Farming systems = Pola usaha tani : Pringsewu. Scale of 1:50 000. Date of publication: 1989. 16. Systèmes de production = Farming systems = Pola usaha tani : Way jepara. Scale of 1:50 000. Date of publication: 1989. 17. Systèmes de production et revenus familiaux = Farming systems and houshold incomes = Pola usaha tani dan pendapatan keluarga. Scale of 1:500 000. Date of publication: 1989. 18. Terroirs et habitat villageois = Rural settlement = Perumahan dan lingkungan desa. Scale of 1:20 000. Date of publication: 1989. 19. Villes relais = Secondary urban centres = Ibukota kabupaten : Metro, Kotabumi. Scale of 1:20 000 to 1:10 000. Date of publication: 1989. 20. Voies de communication et accessibilité = Communication network and accessibility = Kelancaran arus lalulintas dan jaringan perhubungan. Scale of 1:500 000. Date of publication: 1989.

My ArcGIS StoryMap is centered around The Green Book, an annual travel guide that allowed African Americans to travel safely during the height of the Jim Crow Era in the United States. More specifically, The Green Book listed establishments, such as hotels and restaurants, that would openly accept and welcome black customers into their businesses. As someone who is interested in the intersection between STEM and the humanities, I wanted to utilize The Science of Where to formulate a project that would reveal important historical implications to the public. Therefore, my overarching goal was to map each location in The Green Book in order to draw significant conclusions regarding racial segregation in one of the largest cities in the entire world.Although a more detailed methodology of my work can be found in the project itself, the following is a step by step walkthrough of my overall scientific process:Develop a question in relation to The Green Book to be solved through the completion of the project.Perform background research on The Green Book to gain a more comprehensive understanding of the subject matter.Formulate a hypothesis that answers the proposed question based on the background research.Transcribe names and addresses for each of the hotel listings in The Green Book into a comma separated values file.Transcribe names and addresses for each of the restaurants listings in The Green Book into a comma separated values file.Repeat Steps 4 and 5 for the 1940, 1950, 1960, and 1966 publications of The Green Book. In total, there should be eight unique database files (1940 New York City Hotels, 1940 New York City Restaurants, 1950 New York City Hotels, 1950 New York City Restaurants, 1960 New York City Hotels, 1960 New York City Restaurants, 1966 New York City Hotels, and 1966 New York City Restaurants.)Construct an address locator that references a New York City street base map to plot the information from the databases in Step 6 as points on a map.Manually plot locations that the address locator did not automatically match on the map.Repeat Steps 7 and 8 for all eight database files.Find and match the point locations for each listing in The Green Book with historical photographs.Generate a map tour using the geotagged images for each point from Step 10.Create a point density heat map for the locations in all eight database files.Research and obtain professional and historically accurate racial demographic data for New York City during the same time period as when The Green Book was published.Generate a hot spot map of the black population percentage using the demographic data.Analyze any geospatial trends between the point density heat maps for The Green Book and the black population percentage hot spot maps from the demographic data.Research and obtain professional and historically accurate redlining data for New York City during the same time period as when The Green Book was published.Overlay the points from The Green Book listings from Step 9 on top of the redlining shapefile.Count the number of point features completely located within each redlining zone ranking utilizing the spatial join tool.Plot the data recorded from Step 18 in the form of graphs.Analyze any geospatial trends between the listings for The Green Book and its location relative to the redlining ranking zones.Draw conclusions from the analyses in Steps 15 and 20 to present a justifiable rationale for the results._Student Generated Maps:New York City Pin Location Maphttps://arcg.is/15i4nj1940 New York City Hotels Maphttps://arcg.is/WuXeq1940 New York City Restaurants Maphttps://arcg.is/L4aqq1950 New York City Hotels Maphttps://arcg.is/1CvTGj1950 New York City Restaurants Maphttps://arcg.is/0iSG4r1960 New York City Hotels Maphttps://arcg.is/1DOzeT1960 New York City Restaurants Maphttps://arcg.is/1rWKTj1966 New York City Hotels Maphttps://arcg.is/4PjOK1966 New York City Restaurants Maphttps://arcg.is/1zyDTv11930s Manhattan Black Population Percentage Enumeration District Maphttps://arcg.is/1rKSzz1930s Manhattan Black Population Percentage Hot Spot Map (Same as Previous)https://arcg.is/1rKSzz1940 Hotels Point Density Heat Maphttps://arcg.is/jD1Ki1940 Restaurants Point Density Heat Maphttps://arcg.is/1aKbTS1940 Hotels Redlining Maphttps://arcg.is/8b10y1940 Restaurants Redlining Maphttps://arcg.is/9WrXv1950 Hotels Redlining Maphttps://arcg.is/ruGiP1950 Restaurants Redlining Maphttps://arcg.is/0qzfvC01960 Hotels Redlining Maphttps://arcg.is/1KTHLK01960 Restaurants Redlining Maphttps://arcg.is/0jiu9q1966 Hotels Redlining Maphttps://arcg.is/PXKn41966 Restaurants Redlining Maphttps://arcg.is/uCD05_Bibliography:Image Credits (In Order of Appearance)Header/Thumbnail Image:Student Generated Collage (Created Using Pictures from the Schomburg Center for Research in Black Culture, Manuscripts, Archives and Rare Books Division, The New York Public Library, https://digitalcollections.nypl.org/collections/the-green-book#/?tab=about.)Mob Violence Image:Kelley, Robert W. “A Mob Rocks an out of State Car Passing.” Life Magazine, www.life.com/history/school-integration-clinton-history, The Green Book Example Image:Schomburg Center for Research in Black Culture, Manuscripts, Archives and Rare Books Division, The New York Public Library Digital Collections, https://images.nypl.org/index.php?id=5207583&t=w. 1940s Borough of Manhattan Hotels and Restaurants Photographs:“Manhattan 1940s Tax Photos.” NYC Municipal Archives Collections, The New York City Department of Records & Information Services, https://nycma.lunaimaging.com/luna/servlet/NYCMA~5~5?cic=NYCMA~5~5.Figure 1:Student Generated GraphFigure 2:Student Generated GraphFigure 3:Student Generated GraphGIS DataThe Green Book Database:Student Generated (See Above)The Green Book Listings Maps:Student Generated (See Above)The Green Book Point Density Heat Maps:Student Generated (See Above)The Green Book Road Trip Map:Student GeneratedLION New York City Single Line Street Base Map:https://www1.nyc.gov/site/planning/data-maps/open-data/dwn-lion.page 1930s Manhattan Census Data:https://s4.ad.brown.edu/Projects/UTP2/ncities.htm Mapping Inequality Redlining Data:https://dsl.richmond.edu/panorama/redlining/#loc=12/40.794/-74.072&city=manhattan-ny&text=downloads 1940 The Green Book Document:Schomburg Center for Research in Black Culture, Manuscripts, Archives and Rare Books Division, The New York Public Library. "The Negro Motorist Green-Book: 1940" The New York Public Library Digital Collections, 1940, https://digitalcollections.nypl.org/items/dc858e50-83d3-0132-2266-58d385a7b928. 1950 The Green Book Document:Schomburg Center for Research in Black Culture, Manuscripts, Archives and Rare Books Division, The New York Public Library. "The Negro Motorist Green-Book: 1950" The New York Public Library Digital Collections, 1950, https://digitalcollections.nypl.org/items/283a7180-87c6-0132-13e6-58d385a7b928. 1960 The Green Book Document:Schomburg Center for Research in Black Culture, Manuscripts, Archives and Rare Books Division, The New York Public Library. "The Travelers' Green Book: 1960" The New York Public Library Digital Collections, 1960, https://digitalcollections.nypl.org/items/a7bf74e0-9427-0132-17bf-58d385a7b928. 1966 The Green Book Document:Schomburg Center for Research in Black Culture, Manuscripts, Archives and Rare Books Division, The New York Public Library. "Travelers' Green Book: 1966-67 International Edition" The New York Public Library Digital Collections, 1966, https://digitalcollections.nypl.org/items/27516920-8308-0132-5063-58d385a7bbd0. Hyperlink Credits (In Order of Appearance)Referenced Hyperlink #1: Coen, Ross. “Sundown Towns.” Black Past, 23 Aug. 2020, blackpast.org/african-american-history/sundown-towns.Referenced Hyperlink #2: Foster, Mark S. “In the Face of ‘Jim Crow’: Prosperous Blacks and Vacations, Travel and Outdoor Leisure, 1890-1945.” The Journal of Negro History, vol. 84, no. 2, 1999, pp. 130–149., doi:10.2307/2649043. Referenced Hyperlink #3:Driskell, Jay. “An Atlas of Self-Reliance: The Negro Motorist's Green Book (1937-1964).” National Museum of American History, Smithsonian Institution, 30 July 2015, americanhistory.si.edu/blog/negro-motorists-green-book. Referenced Hyperlink #4:Kahn, Eve M. “The 'Green Book' Legacy, a Beacon for Black Travelers.” The New York Times, The New York Times, 6 Aug. 2015, www.nytimes.com/2015/08/07/arts/design/the-green-book-legacy-a-beacon-for-black-travelers.html. Referenced Hyperlink #5:Giorgis, Hannah. “The Documentary Highlighting the Real 'Green Book'.” The Atlantic, Atlantic Media Company, 25 Feb. 2019, www.theatlantic.com/entertainment/archive/2019/02/real-green-book-preserving-stories-of-jim-crow-era-travel/583294/. Referenced Hyperlink #6:Staples, Brent. “Traveling While Black: The Green Book's Black History.” The New York Times, The New York Times, 25 Jan. 2019, www.nytimes.com/2019/01/25/opinion/green-book-black-travel.html. Referenced Hyperlink #7:Pollak, Michael. “How Official Is Official?” The New York Times, The New York Times, 15 Oct. 2010, www.nytimes.com/2010/10/17/nyregion/17fyi.html. Referenced Hyperlink #8:“New Name: Avenue Becomes a Boulevard.” The New York Times, The New York Times, 22 Oct. 1987, www.nytimes.com/1987/10/22/nyregion/new-name-avenue-becomes-a-boulevard.html. Referenced Hyperlink #9:Norris, Frank. “Racial Dynamism in Los Angeles, 1900–1964.” Southern California Quarterly, vol. 99, no. 3, 2017, pp. 251–289., doi:10.1525/scq.2017.99.3.251. Referenced Hyperlink #10:Shertzer, Allison, et al. Urban Transition Historical GIS Project, 2016, https://s4.ad.brown.edu/Projects/UTP2/ncities.htm. Referenced Hyperlink #11:Mitchell, Bruce. “HOLC ‘Redlining’ Maps: The Persistent Structure Of Segregation And Economic Inequality.” National Community Reinvestment Coalition, 20 Mar. 2018,

This interactive map of Senegal highlights the three areas, Louga, Matam, and Kaffrine (PASA-Lou/Ma/Kaf), supported by the Food Security Program, which is designed to contribute to the rural poverty reduction in three high-potential, drought-prone zones. It’s objective is to sustainably increase crop and animal productions and increase small producers' incomes by providing support for producers and livestock breeders, developing agricultural and livestock infrastructure, and improving water management. In the Ferlo sylvo pastoral zone (northern Louga and Matam), the project will focus on livestock water points, rural roads, rural animal vaccination centers, and financing for model ruminant and poultry operations. In Kaffrine and southern Louga, it will focus on water management systems for irrigated cropping, rural roads, support for water users associations, extension services, and subsidized crop inputs.

Data Sources:

PASA-Lou/Ma/Kaf Selected Regions

Source: African Development Bank and GAFSP Documents.

Poverty (Proportion of population below the poverty line) (2011): Proportion of the population living below the national poverty line, a threshold considered minimal to meet basic needs.

Source: Agence Nationale de la Statistique et de la Démographie (ANSD) - Ministère de l’Economie et des Finances (MEF). “Enquête de Suivi de la Pauvreté au Sénégal (ESPS-II)”.

Malnutrition (Proportion of underweight children under 5 years) (2010-2011): Prevalence of severely underweight children is the percentage of children ages 0-59 months whose weight for age is less than minus 3 standard deviations below the median weight for age of the international reference population.

Source: Agence Nationale de la Statistique et de la Démographie (ANSD) and Measure DHS. “Enquête Démographique et de Santé à Indicateurs Multiples Sénégal (EDS-MICS) 2010-2011 Rapport final”.

Malnutrition (Proportion of underweight children under 5 years) (2012-2014): Prevalence of severely underweight children is the percentage of children ages 0-59 months whose weight for age is less than minus 3 standard deviations below the median weight for age of the international reference population.

Source: Agence Nationale de la Statistique et de la Démographie (ANSD) and Measure DHS. “Sénégal: Enquête Démographique et de Santé Continue (EDS-Continue) 2012-2014”.

MEASURE DHS (Demographic and Health Surveys) Project is responsible for collecting and disseminating accurate, nationally representative data on health and population in developing countries. The project is implemented by Macro International, Inc. and is funded by the United States Agency for International Development (USAID) with contributions from other donors such as UNICEF, UNFPA, WHO, UNAIDS.

Population: (Total population) (2011): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin.

Source: Agence Nationale de la Statistique et de la Démographie (ANSD). “Situation Economique et Sociale du Sénégal Ed. 2011 | DEMOGRAPHIE”.

Population Density (Persons per square kilometer) (2011): Total population divided by land area in square kilometers.

Source: Agence Nationale de la Statistique et de la Démographie (ANSD). “Situation Economique et Sociale du Sénégal Ed. 2011 | DEMOGRAPHIE”.

Population: (Total population) (2013): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship, except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin.

Source: Agence Nationale de la Statistique et de la Démographie (ANSD). “Recensement Général de la Population et de l’Habitat de l’Agriculture et de l’Elevage 2013

Population Density (Persons per square kilometer) (2013): Total population divided by land area in square kilometers.

Source: Agence Nationale de la Statistique et de la Démographie (ANSD). “Recensement Général de la Population et de l’Habitat de l’Agriculture et de l’Elevage 2013”.

Market Centers: Key market centers for retail, assembly and/ or wholesale of agricultural products. FEWS NET Reference markets.

Source: FEWS Net. The Famine Early Warning Systems Network (FEWS NET) is a USAID-funded activity that collaborates with international, regional and national partners to provide timely and rigorous early warning and vulnerability information on emerging and evolving food security issues.

Maize Area (2013-2014): Area in hectares of agriculture land used for maize.

Source: Ministère de l’agriculture et de l’Equipement Rural (MAER). "Rapport de Presentation des Resultats Agricola 2012 Republique du Senegal"

Maize Production (2013-2014): Maize harvested expressed in tones.

Source: Ministère de l’agriculture et de l’Equipement Rural (MAER). "Rapport de Presentation des Resultats Agricola 2012 Republique du Senegal"

Maize Productivity (2013-2014): Maize crop yield expressed in kg/ha.

Source: Ministère de l’agriculture et de l’Equipement Rural (MAER). "Rapport de Presentation des Resultats Agricola 2012 Republique du Senegal"

Millet Area (2013-2014): Area in hectares of agriculture land used for millet.

Source: Institut National de la Statistique et de l’Analyse Économique (INSAE). “Annuaire Statistique 2010.”

Millet Production (2013-2014): Millet harvested expressed in tones.

Source: Institut National de la Statistique et de l’Analyse Économique (INSAE). “Annuaire Statistique 2010.”

Millet Productivity (2013-2014): Millet crop yield expressed in kg/ha.

Source: Ministère de l’agriculture et de l’Equipement Rural (MAER). "Rapport de Presentation des Resultats Agricola 2012 Republique du Senegal"

Livelihood Zones (2015): FEWS NET uses the Household Economy Approach (HEA) as the framework for its livelihoods work. For early warning of food insecurity, livelihoods analysis provides invaluable insight into the ability of households such as these to contend with shocks. The analysis also provides detailed information for humanitarian assistance planning and ongoing monitoring.

Source: FEWS NET –USAID. “Senegal Comprehensive Food Security and Vulnerability Analysis”

Geographic boundaries.

The maps displayed on the GAFSP web site are for reference only. The boundaries, colors, denominations and any other information shown on these maps do not imply, on the part of GAFSP (and the World Bank Group), any judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.

This interactive map of Burundi highlights the five provinces targeted by PNSADR-IM: Cibitoke, Bubanza, rural Bujumbura, Ruyigi, and Rutana. These provinces are located in the Imbo and Mosso regions which are characterized by major water deficits and food insecurity, but at the same time have great potential in terms of fertile land suitable for irrigation. Additionally, the communes were selected for their rice and milk production potential. This project is designed to raise productivity, ensure optimal management of soil and water resources and strength human resource capacities of national institutions and farmers’ organizations, in these two plains. The project is expected to improve the living standards of 55,575 households and more than 300,000 people.

Data Sources:

PNSADR-IM Project Coverage

Source: GAFSP Documents.

Poverty Incidence (Proportion of population below the poverty line) (2006): Proportion of the population living on less than FBU 627 per day and per adult in urban areas and FBU 525 per day and per adult in rural areas.

Source: International Monetary Fund. CWIQ 2006 Burundi. Poverty Reduction Strategy Paper - Annual Progress Report 2009.

Poverty Incidence (Proportion of population below the poverty line) (2014): Proportion of the population living on less than FBU 627 per day and per adult.

Source: Institut de Statistiques et d’Études Économiques du Burundi and African Development Bank. "Burundi: Profil et Déterminats de la Pauvreté - Rapport de l’enquête modulaire sur les conditions de vie des ménages 2013/2014.”

Malnutrition (Proportion of underweight children under 5 years) (2010): Prevalence of severely underweight children is the percentage of children under age 5 whose weight-for-age is more than 3 three standard deviations below the median for the international reference population ages 0-59 months.

Source: Institut de Statistiques et d’Études Économiques du Burundi, Ministère du Plan et du Développement Communal, Institut National de Santé Publique , Ministère de la Santé Publique et de la Lutte contre le Sida, MEASURE DHS, ICF Macro. Enquête Démographique et de Santé Burundi 2010. Rapport Préliminaire.

Total Population (2008): Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin.

Source: PNUD et le Ministère du Planification du Development et de la Reconstruction Nationale 2010. Recensement 1990 et Résultats Définitifs du RGPH du Burundi, 2008. Rapport Burundi. Objectifs du Millénaire pour le développement 2010.

Population Density (2008): Population divided by land area in square kilometers.

Source: PNUD et le Ministère du Planification du Development et de la Reconstruction Nationale 2010 and Burundi Net “Les 17 Provinces et les Communes du Burundi.” Recensement 1990 et Résultats Définitifs du RGPH du Burundi, 2008. Rapport Burundi. Objectifs du Millénaire pour le développement 2010.

Market Centers: Key market centers for retail, assembly and/or wholesale of agricultural products.

Source: FEWS NET. The Famine Early Warning Systems Network (FEWS NET) is a USAID-funded activity that collaborates with international, regional and national partners to provide timely and rigorous early warning and vulnerability information on emerging and evolving food security issues.

Livelihood Zones (2009): FEWS NET uses the Household Economy Approach (HEA) as the framework for its livelihoods work. For early warning of food insecurity, livelihoods analysis provides invaluable insight into the ability of households such as these to contend with shocks. The analysis also provides detailed information for humanitarian assistance planning and ongoing monitoring.

Source: FEWS NET - USAID. “Livelihood zoning “plus” activity in Burundi 2009.”

Rice Production (2014): Total production of rice in 2014 (Seasons A, B and C), expressed in tons.

Source: Institut de Statistiques et d'Etudes Economiques du Burundi (ISTEEBU). “Annuaire des Statistiques Agricoles 2014.”

Cattle Inventory (2012-2013): Total bovine inventory.

Source: Institut de Statistiques et d’Etudes Economiques du Burundi (ISTEEBU). “Les Cahiers de l ISTEEBU. Volume 1, N°01, 1ère Edition 2016.”The maps displayed on this website are for reference only. The boundaries, colors, denominations and any other information shown on these maps do not imply, on the part of GAFSP (and the World Bank Group), any judgment on the legal status of any territory, or any endorsement or acceptance of such boundaries.

This Web Map represents the density of population of Belgium, by regions, provinces, districts and municipalities.The population data comes from the Belgian population offical figures of 1st January 2011Last update: 10/10/2013SourceCe Web Map représent la densité de population de la Belgique, par régions, provinces, arrondissements et communes. Les données sur la population proviennent des chiffres officiels de la population belge de droit au 1er janvier 2011. Dernière mise à jour: 10/10/2013SourceBron

This layer represents the density of population of Belgium, by regions, provinces, districts and municipalities.The population data comes from the Belgian population offical figures of 1st January 2011Last update: 10/10/2013SourceCette couche représente la densité de population de la Belgique, par région, province, arrondissement et commune. Les données sur la population proviennent des chiffres officiels de la population belge de droit au 1er janvier 2011. Dernière mise à jour: 10/10/2013SourceBron

This layer represents the density of population of Belgium, by regions, provinces, districts and municipalities.The population data comes from the Belgian population offical figures of 1st January 2011Last update: 10/10/2013SourceCette couche représente la densité de population de la Belgique, par région, province, arrondissement et commune. Les données sur la population proviennent des chiffres officiels de la population belge de droit au 1er janvier 2011. Dernière mise à jour: 10/10/2013SourceBron