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| Category | Geography | Titles | Meta | Caption | Link to Map |
| Political Boundaries | US | Counties of Washington, Oregon, Idaho, and Montana | TBL_Census.txt | countynames.html | |
| Political Boundaries | AK | Borough and Census Areas in Alaska | TBL_Census.txt | countynamesak.html | |
| Political Boundaries | CN | Regional Districts of British Columbia and Yukon | CAN_RegionalDistricts.txt | rdnames.html | |
| Land Cover | ALL | The Northwest | na_landcover.txt | Brainerd Northwest Study Area | brainerdarea.html |
| Land Cover | US | Land Cover | na_landcover.txt | This map shows types of land cover for Oregon, Washington, Idaho and Montana, derived from 2001 satellite imagery. | USlandcover.html |
| Land Cover | AK | Land Cover | na_landcover.txt | This map shows types of land cover for Alaska, derived from 2001 satellite imagery. | AKreferencelan.html |
| Land Cover | CN | Land Cover | na_landcover.txt | This map shows types of land cover for British Columbia and the Yukon Territory, derived from 2001 satellite imagery. | CANreferencela.html |
| Land Ownership | US | Land Ownership | US_FedLands.txt; US_StateLands.txt | This map shows land ownership for Oregon, Washington, Idaho and Montana. | USreference.html |
| Land Ownership | AK | Land Ownership | AK_LandOwnership.txt | This map shows land ownership for Alaska. | AKreference.html |
| Land Ownership | CN | Land Ownership | BC_ProtectedAreas.txt; CAN_ProtectedAreas.txt | This map shows land ownership for British Columbia and the Yukon Territory. | CANreference.html |
| Biodiversity | ALL | Total Endemic Species per Ecoregion | NA_WWF-terr-ecoregions.txt; http://www.worldwildlife.org/science/ | Endemic, or restricted-range, species are generally more vulnerable to extinction than those with a wider range. By ensuring the conservation of endemic-rich areas, it may be possible to reduce the extinction process. World Wildlife Fund provided these data. | spsendemism.html |
| Biodiversity | ALL | Total Species Richness per Ecoregion | NA_WWF-terr-ecoregions.txt; http://www.worldwildlife.org/science/ | This map shows the number of species that occur per ecoregion. Species richness hotspots, where many species coexist, are often used for setting conservation priorities. These data were provided by the World Wildlife Fund. | spsrichness.html |
| Biodiversity | ALL | Large and Meso-Carnivore Species Richness | na_carnivore.txt | This map shows the number of large and meso-carnivore species that occur in any given area. The map was created by overlapping species distribution maps of black bear, brown bear, fisher, lynx, marten, mountain lion, wolves, and wolverines, provided by NatureServe. | carnivorerichn.html |
| Biodiversity | ALL | Overlap in Biodiversity Layers | na_cmp_biodiv.txt | The dark green areas on this map have high biodiversity according to three measures: (1) Total species richness per ecoregion (2) Total endemic species per ecoregion, and (3) Large and Meso-carnivore species richness | ecobdiv.html |
| Biodiversity | US | Overlap in Biodiversity Layers | na_cmp_biodiv.txt | The dark green areas on this map have high biodiversity according to three measures: (1) Total species richness per ecoregion (2) Total endemic species per ecoregion, and (3) Large and Meso-carnivore species richness | ecobdivlower48.html |
| Ecoregional Assessments | ALL | Biological Distinctiveness per Ecoregion | NA_WWF-terr-ecoregions.txt; http://www.worldwildlife.org/science/ | The World Wildlife Fund's index of biological importance is based on broad measures of species richness, endemism, unusual ecological and evolutionary phenomena, and the global rarity of major habitat types. Purple areas are more distinctive. | WWFterrestrial.html |
| Ecoregional Assessments | ALL | Freshwater Biological Distinctiveness per Ecoregion | NA_WWF-aquatic-ecoregions.txt; http://www.worldwildlife.org/science/ | The World Wildlife Fund's index of biological importance in freshwater ecosystems is based on broad measures of species richness, endemism, unusual ecological and evolutionary phenomena, and the global rarity of major habitat types. | WWFaquatic.html |
| Ecoregional Assessments | ALL | Overlap in Ecoregional Assessment Layers | na_cmp_ecoreg.txt | Dark orange on this map indicates areas that were determined to be globally and/or continentally outstanding in World Wildlife Fund's terrestrial and aquatic ecoregional assessments. | ecoassessment.html |
| Ecoregional Assessments | US | Overlap in Ecoregional Assessment Layers | na_cmp_ecoreg.txt | Dark orange on this map indicates areas that were determined to be globally and/or continentally outstanding in World Wildlife Fund's terrestrial and aquatic ecoregional assessments. | ecoassessmentl.html |
| Productivity | ALL | Greeness (Productivity) | na_greeness.txt | These data were provided by Carlos Carroll and show "tasseled-cap greenness" derived from satellite imagery from mid-July 2003 and 2004. Greenness is related to net primary productivity and green phytomass both in forest and shrubland habitat, and can vary considerably depending upon the time of year the imagery was taken. | greeness.html |
| Productivity | ALL | Net Primary Productivity per Ecoregion | NA_WWF-terr-ecoregions.txt | These data were provided by the World Wildlife Fund and describe average values of net primary productivity (NPP) per ecoregion. NPP is defined as the amount of vegetable matter produced (net primary production) per year. | productecoregi.html |
| Productivity | ALL | Overlap in Productivity Layers | na_cmp_prod.txt | The purple areas on this map are highly productive according to two datasets: (1) greeness (calculated from satellite imagery), and (2) average net primary productivity | ecoproduct.html |
| Productivity | US | Overlap in Productivity Layers | na_cmp_prod.txt | The purple areas on this map are highly productive according to two datasets: (1) greeness (calculated from satellite imagery), and (2) average net primary productivity | ecoproductlowe.html |
| Target Habitats | ALL | Native Landbird Species Richness | na_bird-rch.txt | This map shows the number of bird species, based on a model developed by Kingsford Jones and Andy Hansen at Montana State University. The darker the color, the more species. This map does not include shorebirds or waterfowl. | avianrichness.html |
| Target Habitats | ALL | Sagebrush and Associated Shrub-Steppe Habitat | NA_Sagebrush.txt | The data shown in this map was originally created by Cara Meinke of the USGS-FRESC Snake River Field Station. Meinke collected maps from individual states and provinces. Most maps contain detailed information on specific sagebrush types. However the maps for Canada are coarse-scale and classified vegetation as only "shrub." | ecosagebrush.html |
| Target Habitats | US | Sagebrush and Associated Shrub-Steppe Habitat | NA_Sagebrush.txt | The data for this map was compiled by Cara Meinke of the USGS-FRESC Snake River Field Station, and was collected from individual states, provinces, and territories. | ecosagebrushlo.html |
| Target Habitats | US | Estimates of Potential Grizzly Bear Habitat Quality | us_griz-model.txt | This map shows estimates of potential grizzly bear habitat quality, based on roads, human population density, urban centers, and greeness (a metric derived from satellite imagery that may be related to the distribution of prey). Carlos Carroll provided data and analysis for this map. Source habitat is habitat that produces a surplus number of individuals (i.e., reproduction exceeds mortality), while sink habitat produces at a deficit (i.e., mortality exceeds reproduction). | carrollgrizmod.html |
| Target Habitats | US | Estimates of Potential Wolf Habitat Quality | us_wolf-model.txt | This maps shows estimates of potential wolf habitat quality, based on roads, human population density, urban centers, and greeness (a metric derived from satellite imagery that may be related to the distribution of prey). Carlos Carroll provided data and analysis for this map. | carrollwolfmod.html |
| Wildlife Corridors | US | American Wildlands' Potential Migration Corridors: Based on Grizzly Bear Habitat Requirements | us_awl-corr.txt | American Wildlands provided the data shown in this map representing potential migration corridors for grizzly bears based on habitat requirements, specifically habitat suitability, habitat complexity, and weighted road density. Areas in purple denote the highest potential migratory corridors between core and sub-core habitat, shown in dark green. | corridorsAWL.html |
| Wildlife Corridors | US | Craighead Environmental Research Institute's Potential Migration Corridors: Based on Grizzly Bear Habitat Requirements | us_griz-suit.txt; us_griz-core.txt; us_griz-special.txt | This map shows potential migration corridors based for grizzly bears, based on habitat requirements. Habitat associations and least cost path analyses were used to identify potential corridors. The data were provided by Craighead Environmental Research Institute. | corridorsCERI.html |
| Wildlife Corridors | US | Potential Migration Corridors: Based on Large Carnivore Habitat Requirements | na_singl_dist.txt; http://www.fs.fed.us/pnw/pubs/rp549/ | This map shows potential corridors from Peter Singleton's Large Carnivore Landscape Permeability Analysis, which considers the needs of wolves, wolverines, lynx, and grizzly bear. | corridorsSingl.html |
| Wildlife Corridors | CN | Conservation Area Designs: Muskwa Kechika, Taku, and Coastal Management Areas | BC_CAD-Coast_RoundRiver.txt; BC_CAD-MK_RoundRiver.txt; BC_CAD-Taku_RoundRiver.txt | Conservation design is a science-based framework for identifying areas for sustainable conservation based upon ecological values, threats, and opportunities for implementation. This map shows the conservation area designs for British Columbia's coastal management areas, Muskwa Kechika region, and Taku River watershed. Data were provided by Round River Conservation Studies. | corridorRoundR.html |
| Wildness | ALL | "Last of the Wild" | NA_LastWild.txt | This map shows the last wild places according to the Wildlife Conservation Society's Last of the Wild Project. The areas in green have more than five square kilometers with minimal human impacts. | lastofthewild.html |
| Wildness | ALL | Frontier Forests | NA_FrontierForests.txt | Frontier Forests are defined by the World Resources Institute in "The Last Frontier Forests: Ecosystems and Economies on the Edge" as being primarily forested; of sufficient size to support viable populations of the full range of indigenous species; and shaped largely by natural events. Dark green shows Fronteir Forests. | frontierforest.html |
| Wildness | ALL | Human Footprint | na_ftprnt.txt | This map shows in dark green areas with low impacts from humans, and in red areas with high human impacts. The data were derived from Carlos Carroll's habitat effectiveness layer. In eastern Montana the data were obtained from the Wildlife Conservation Society's (WCS) "human footprint" data layer. Both Carroll's and WCS's layers incorporate human population pressure, land use and infrastructure. | humanfootprint.html |
| Wildness | ALL | Overlap in Wildness Layers | na_cmp_wild.txt | This map shows the overlap between three datasets that represent wildness: (1) Frontier Forests (large, unimpacted forest) (2) Last of the Wild (large, unimpacted wilderness), and (3) Human Footprint (minimal human disturbance) | ecowildness.html |
| Wildness | US | Overlap in Wildness Layers | na_cmp_wild.txt | This map shows the overlap between three datasets that represent wildness: (1) Frontier Forests (large, unimpacted forest) (2) Last of the Wild (large, unimpacted wilderness), and (3) Human Footprint (minimal human disturbance) | ecowildnesslow.html |
| Summary | ALL | Summary Using 5 Criteria | NA | This map shows the results of a simple method of prioritizing ecological importance that equally weights five criteria: Ecoregional Assessments, Biological Diversity, Wildness, Productivity, and Target Habitats (i.e., Sage/Shrub-Steppe). Dark green areas score high according to these criteria. However, other factors, such as connectivity and level of protection, should be considered in a comprehensive assessment of ecological value. | ecoaverage.html |
| Summary | US | Summary Using 5 Criteria | NA | This map shows the results of a simple method of prioritizing ecological importance that equally weights five criteria: Ecoregional Assessments, Biological Diversity, Wildness, Productivity, and Target Habitats (i.e., Sage/Shrub-Steppe). Dark green areas score high according to these criteria. However, other factors, such as connectivity and level of protection, should be considered in a comprehensive assessment of ecological value. | ecoaveragelowe.html |
| Summary | ALL | Summary Using 4 Criteria | NA | This map shows the results of a simple method of prioritizing ecological importance that equally weights four criteria: Biological Diversity, Wildness, Productivity, and Target Habitats (i.e., Sage/Shrub-Steppe). Dark green areas score high according to these criteria. However, other factors, such as connectivity and level of protection, should be considered in a comprehensive assessment of ecological value. | ecoaveragenoea.html |
| Summary | US | Summary Using 4 Criteria | NA | This map shows the results of a simple method of prioritizing ecological importance that equally weights four criteria: Biological Diversity, Wildness, Productivity, and Target Habitats (i.e., Sage/Shrub-Steppe). Dark green areas score high according to these criteria. However, other factors, such as connectivity and level of protection, should be considered in a comprehensive assessment of ecological value. | ecoavgnoeal48.html |
| Other Criteria | ALL | Conservation Site Portfolios per Ecoregion | NA_TNC-portfolio.txt; NA_TNC-ecoregions.txt | This map shows The Nature Conservancy's portfolio of conservation sites by ecoregion. Sites not yet selected for the Canadian ecoregions are shown in light blue. TNC’s methodology identifies lands and waters that, if conserved or managed sustainably, would protect the full complement of ecological systems, natural communities, and species in the ecoregion. | TNCportfolios.html |
| Other Criteria | US | Native Freshwater Fish Species Richness | US_FishRichness.txt | This map shows the number of native freshwater fish that occur in each watershed. The data were provided by NatureServe and its network of Natural Heritage member programs. | fishrichness.html |
| Other Criteria | US | Native Freshwater Fish Species Richness: Weighted by Species' Natural Heritage Inventory Global Rank | US_FishRichness.txt | This map shows the weighted native freshwater fish species richness per watershed. Species were weighted by their Natural Heritage Inventory Global Ranks, which describe rarity and vulnerability. The data were provided by NatureServe and its network of Natural Heritage member programs. | fishrichnesswe.html |
| Exurban Development | US | Residential Development: Average Lot Size per Census Block | US_CNTY_Sprawl2000.txt | This map shows sprawling land use patterns in yellow and orange. | Residential.html |
| Exurban Development | US | Percent Exurban by County: Percent of Private Land Developed at Exurban Housing Densities (10 - 40 acre lots) | US_CNTY_Sprawl2000.txt | This map shows in purple counties with a high percentage of private lands developed at densities of 10 to 40 acre lots. | exurban.html |
| Exurban Development | US | Percent Suburban by County: Percent of Private Land Developed at Suburban Housing Densities (1 - 10 acre lots) | US_CNTY_Sprawl2000.txt | This map shows in purple counties with a high percentage of private lands developed at densities of 1 to 10 acre lots. | suburban.html |
| Exurban Development | US | Percent Suburban or Exurban by County: Percent of Private Land Developed at Suburban or Exurban Housing Densities (1 - 40 acre lots) | US_CNTY_Sprawl2000.txt | This map shows in purple counties with a high percentage of private lands developed at densities of 1 to 40 acre lots. | subandexurban.html |
| Exurban Development | US | Population Density per County: People per Square Mile of Private Land | US_CNTY_Sprawl2000.txt | This maps shows in red counties with highest population densities. | popdensity.html |
| Exurban Development | CN | Share of Homes Built in the 1990s | CAN_CDprofiles.txt | This map shows regional districts with significant development on private lands in the last decade, in orange. | cabuilt90.html |
| Coal | ALL | Coal Fields | NA_coalflds.txt | The data shown in this map were provided by the U.S., B.C. and Yukon Geological Surveys and describes areas of expected coal deposits. The deposits in the U.S. have been further categorized to identify those potentially mineable. | subsurcoal.html |
| Coal | ALL | Coal Mines Currently in Operation | US_CoalMines.txt; BC_CoalMines.txt | This map shows the locations of coal mines that were active in 2005 (US) and 2006 (Canada). Large coal fields that are not currently being mined also exist in northern Alaska, surrounding Whitehorse in the Yukon Territory, and in northcentral Montana. | minescoal.html |
| Coalbed Methane | ALL | Estimated Technically Recoverable Coalbed Methane | NA_cbm.txt | This map shows the location and amount of estimated technically recoverable coalbed methane based on data provided by the U.S. and B.C. Geological Surveys. "Technically" recoverable amounts are based on geologic knowledge and past discoveries, but do not reflect the economic viability of recovering the resource. Coalbed methane estimates are not currently available for the Yukon Territory. | basinscoalbeda.html |
| Coalbed Methane | US | Estimated Technically Recoverable Coalbed Methane | NA_cbm.txt | This map shows the location and amount of estimated technically recoverable coalbed methane based on data provided by the U.S.G.S. "Technically" recoverable amounts are based on geologic knowledge and past discoveries, but do not reflect the economic viability of recovering the resource. | basinscoalbedm.html |
| Oil & Gas Development | ALL | Estimated Technically Recoverable Gas | NA_OilGasAccumulations.txt | These data were provided by the U.S.G.S. National Oil and Gas Assessment and show the location and estimated amount of technically recoverable natural gas accumulations. "Technically" recoverable amounts are based on geologic knowledge and past discoveries, but do not reflect the economic viability of recovering the resource. | basinsgasall.html |
| Oil & Gas Development | ALL | Estimated Technically Recoverable Oil | NA_OilGasAccumulations.txt | These data were provided by the U.S.G.S. National Oil and Gas Assessment and show the location and estimated amount of technically recoverable oil accumulations. "Technically" recoverable amounts are based on geologic knowledge and past discoveries, but do not reflect the economic viability of recovering the resource. | basinsoilall.html |
| Oil & Gas Development | ALL | Oil and Gas Active Well Density | NA_OilGasWells.txt | These data were provided by the U.S.G.S. National Oil and Gas Assessment and IHS Energy and show the number of active oil and gas wells per square kilometer. Each point in the original Canadian data represents one well. The original U.S. data points represent the number of active wells per square mile. A neighborhood of 10 square kilometers was considered when deriving this map. | oilgaswelldens.html |
| Oil & Gas Development | ALL | Oil and Gas Well Density | NA_OilGasWells.txt | These data were provided by the U.S.G.S. National Oil and Gas Assessment and IHS Energy and show the total number of oil and gas wells (active, suspended or abandoned) per square kilometer. Each point in the original Canadian data represents one well. The original U.S. data points represent the number of wells per square mile. A neighborhood of 10 square kilometers was considered when deriving this map. | oilgasactivewe.html |
| Oil & Gas Development | US | Active Oil and Gas Leases on Federal Lands | US_ActLeases.txt | This map shows active oil and gas leases based on data provided by the Environmental Working Group (EWG). EWG analyzed the leasing and drilling records of 12 western states contained in the Bureau of Land Management's Land and Mineral Records 2000 database. | activeleases.html |
| Oil & Gas Development | US | Estimated Technically Recoverable Gas | NA_OilGasAccumulations.txt | These data were provided by the U.S.G.S. National Oil and Gas Assessment and show the location and estimated amount of technically recoverable natural gas accumulations. "Technically" recoverable amounts are based on geologic knowledge and past discoveries, but do not reflect the economic viability of recovering the resource. | basinsgas.html |
| Oil & Gas Development | US | Estimated Technically Recoverable Oil | NA_OilGasAccumulations.txt | These data were provided by the U.S.G.S. National Oil and Gas Assessment and show the location and estimated amount of technically recoverable oil accumulations. "Technically" recoverable amounts are based on geologic knowledge and past discoveries, but do not reflect the economic viability of recovering the resource. | basinsoil.html |
| Hard Rock Mining | ALL | Subsurface Gold and Mercury Concurrent Deposits | NA_mining_AuHg.txt | This map shows the locations of undeveloped, actively mined, and past producing deposits of gold that occur with mercury. Mercury is an important potential environmental contaminant released when gold is mined. | subsurgoldmerc.html |
| Hard Rock Mining | ALL | Subsurface Gold Deposits | NA_gsc_pot.txt | These data were provided by the U.S., B.C. and Yukon Geological Surveys and show potential subsurface gold deposits. The deposits are at different levels of exploration and may or may not be developed in the future. The gold deposits may be found concurrently with other minerals. | subsurgold.html |
| Hard Rock Mining | ALL | Subsurface Silver Deposits | NA_gsc_pot.txt | These data were provided by the U.S., B.C. and Yukon Geological Surveys and show potential subsurface silver deposits. The deposits are at different levels of exploration and may or may not be developed in the future. The silver deposits may be found concurrently with other minerals. | subsursilver.html |
| Hard Rock Mining | ALL | Copper Mines Currently in Operation | NA_gsc_prod.txt; NA_gsc_smprod.txt | This map shows the locations of large and small active copper mines. The large mines are designated using data provided by the USGS Minerals Information Team and the B.C. Ministry of Energy, Mines and Petroleum Resources MINFILE. The large mines in the Yukon and all smaller mines are designated using data provided by the USGS Mineral Resources Data System. | minescopper.html |
| Hard Rock Mining | ALL | Gold Mines Currently in Operation | NA_gsc_prod.txt; NA_gsc_smprod.txt | This map shows the locations of large and small active gold mines. The large mines are designated using data provided by the USGS Minerals Information Team and the B.C. Ministry of Energy, Mines and Petroleum Resources MINFILE. The large mines in the Yukon and all smaller mines are designated using data provided by the USGS Mineral Resources Data System. | minesgold.html |
| Hard Rock Mining | ALL | Gold, Silver and Copper Mines No Longer in Active Production | NA_gsc_pastprod.txt | This map shows the location of gold, silver and copper mines that have produced in the past but are no longer in active production. The data were provided by the U.S. and B.C. Geological Surveys and the Canadian Parks and Wilderness Society (for the Yukon Territory). | minespastprodu.html |
| Hard Rock Mining | ALL | Silver Mines Currently in Operation | NA_gsc_prod.txt; NA_gsc_smprod.txt | This map shows the locations of large and small active silver mines. The large mines are designated using data provided by the USGS Minerals Information Team and the B.C. Ministry of Energy, Mines and Petroleum Resources MINFILE. The large mines in the Yukon and all smaller mines are designated using data provided by the USGS Mineral Resources Data System (MRDS). Information on mining operations in the Yukon are derived from the MRDS dataset. | minessilver.html |
| Hard Rock Mining | ALL | Subsurface Copper Deposits | NA_gsc_pot.txt | These data were provided by the U.S., B.C. and Yukon Geological Surveys and show potential subsurface copper deposits. The deposits are at different levels of exploration and may or may not be developed in the future. The copper deposits may be found concurrently with other minerals. | subsurcopper.html |
| Hard Rock Mining | ALL | Subsurface Diamond Deposits | BC_Diamonds.txt | This map shows potential subsurface diamond deposits based on data provided by the B.C. Geological Survey, Ministry of Energy, Mines and Petroleum Resources MINFILE database. | subsurdiamond.html |
| Access to Markets | US | Access to Large Population Centers | NA | This maps shows the relative access to major population centers and access to markets via transportation infrastructure. Dark blue indicates counties that are part of Metropolitan Statistical Areas. Counties in light blue are non-metro, but ready have access to metro areas via airports with daily commercial service (enplanements > 20,000 per year) to major cites and hubs. Counties in gray are rural and isolated from major markets and population centers. | threewests.html |
| Access to Markets | CN | Major Canadian Airports | CAN_Airports.txt | This map shows the locations of major airports (with enplanements >35,000 per year) in British Columbia and the Yukon Territory. | canairports.html |
| Agriculture Dependence | US | Farm Dependency as Share of Personal Income | TBL_REIS.txt | This maps shows relative economic dependency on agriculture, based on the percent of total personal income in the county from people employed in farming and ranching in 2004. | farmdependent.html |
| Agriculture Dependence | CN | Agricultural Dependency Share of Total Employment | NA | This maps shows relative economic dependence on agriculture, based on the percent of people in each regional district employed in farming and ranching in 2001. | caagdep.html |
| Amenity Driven Growth | US | Amenity Driven Growth Index | US_AmGrowth.txt | This map is a composite of eleven variables commonly found in amenity-rich areas. Each variable is shown seperately in subsequent maps. Dark green shows areas with high amenity-driven growth. | compositeameni.html |
| Amenity Driven Growth | US | Annual Population Change from 1990 to 2005 by County | TBL_Census.txt; TBL_CensusEst.txt | Dark purple represents the fastest growing counties; blue shows counties losing population. | pop9005.html |
| Amenity Driven Growth | US | Composition of Population Change 2000-2005: Migration vs. Natural Change | TBL_Census.txt; TBL_CensusEst.txt | Blue dots represent areas with net in-migration; red dots show areas with net out-migration. Green dots show areas with more births than deaths; black dots show areas with more deaths than births. Areas with blue and black dots are likely retirement destinations. Areas with red and green are growing due to in-migration and births. | migration.html |
| Amenity Driven Growth | US | Projected Annual Population Change from 2005 to 2020 by County | TBL_Census.txt; TBL_CensusProj.txt | This map shows the projected population growth by county from 2005 to 2020 according to calculations made by Headwaters Economics, using data from the Bureau of the Census. Counties in dark purple are projected to grow the fastest, while those in blue are projected to lose population. | pop0520.html |
| Amenity Driven Growth | US | Educational Attainment BA or Greater Share of Total | TBL_Census.txt | This map shows relative educational attainment, measured as the percent of adult population with a bachelor's degree or higher. Counties in red are the least educated. | us_jeff_baorgreater.html |
| Amenity Driven Growth | US | Census Knowledge Based Jobs Share of Total | TBL_Census.txt | This map shows the percent of total employment in occupations that require a college degree. Counties in red have the lowest proportion of their employment in knoweldge-based sectors. | us_jeff_pcollege.html |
| Amenity Driven Growth | US | Personal Income Growth 1990 to 2004 (Annualized Percent Adjusted) | TBL_REIS.txt | This map shows the annual growth in total personal income in real terms (i.e., adjusted for inflation). | us_jeff_p10.html |
| Amenity Driven Growth | US | Housing Affordability Index | US_HAfford.txt | This map shows relative housing affordability, measured by whether a family with median income spends less than 25% of their income on a median-priced home. Red and orange areas are not affordable; dark green is very affordable. | us_jeff_hafford.html |
| Amenity Driven Growth | US | Proximity to Federal Public Lands Managed for Conservation | US_FedLands.txt | This map shows the share of nearby federal lands that are managed primarily for conservation purposes, defined as Wilderness, National Monuments, National Parks, Wildlife Refuges, roadless lands & wilderness study areas. | us_jeff_nei12.html |
| Amenity Driven Growth | US | Counties with Major Ski Resorts | US_SkiResorts.txt | us_jeff_ski.html | |
| Amenity Driven Growth | US | Variation in Elevation (Mountains & Valleys) | us_var-elev.txt | us_jeff_elevar.html | |
| Amenity Driven Growth | US | Producer Services Share of Total (2000 Census) | TBL_Census.txt | Counties with the largest proportion of total personal income from relatively high-wage service industries (most often associated with goods production) are indicated in green. | us_jeff_producer.html |
| Amenity Driven Growth | US | Share of Houses Constructed in the 90's | TBL_Census.txt | us_jeff_hcons90sshr.html | |
| Amenity Driven Growth | CN | Amenity Driven Growth Index | NA | This map is a composite of nine variables associated with amenity-driven growth, each of which are mapped seperately in subsequent maps. Regional districts characterized by rapid in-migration to areas rich in environmental amenities are shown in dark green. | caamgr.html |
| Amenity Driven Growth | CN | Annual Population Change per Regional District (1990-2006) | NA | Dark red represents rapid population growth; blue indicates population loss. | capopchg199020.html |
| Amenity Driven Growth | CN | Composition of Population Change 2001-2005: Migration vs. Natural Change | NA | Blue dots represent areas with net in-migration; red dots show areas with net out-migration. Green dots show areas with more births than deaths; black dots show areas with more deaths than births. The Central Coast is losing population, while the Lower Mainland is gaining population. | cadotmigr.html |
| Amenity Driven Growth | CN | Net Migration 5 yr. Average 2001-2005 | NA | Regional districts in green have the highest rates of in-migration. Regional districts in red are losing population. | canetmigr.html |
| Amenity Driven Growth | CN | Population Growth 1990 to 2005 | NA | capopgr.html | |
| Amenity Driven Growth | CN | Average Income % Chg 96-01 (Annual Rate) | NA | Dark green regional districts have rapid growth in personal incoem, in real terms; dark orange regional districts experienced declines in personal income. | caavingr.html |
| Amenity Driven Growth | CN | Projected Annual Population Change per Regional District (2006-2020) | NA | This maps shows projected population growth by regional district through 2020, according to BC Stats and the Yukon Bureau of Statistics. The highest projected growth areas are in purple. | capopchg200620.html |
| Amenity Driven Growth | CN | Ski Lift Capacity | NA | This maps shows in green the regional districts with the busiest ski areas. | caski.html |
| Amenity Driven Growth | CN | High Wage Producer Services Share of Total Jobs | NA | Regional districts with the largest proportion of jobs in the relatively high-wage producer service industries are indicated in green. | caproducer.html |
| Amenity Driven Growth | CN | Housing Affordability | CN_HAfford.txt | Regional districts with the most affordable housing, according to BS Stats, are in dark green; those with the least affordable housing are in dark orange. | caafford.html |
| Economically Stressed | US | Economic Stress Index | US_stress.txt | Counties in dark red are relatively stresssed economically according to a composite of six criteria. Each criterion is mapped seperately in subsequent maps. | compositestres.html |
| Economically Stressed | US | Percent Of Total Personal Income From Welfare Payments | TBL_Census.txt | Counties with the highest dependence on federal income maintenance payments are in dark orange; those with the lowest dependence on income maintenance payments are in dark green. | us_jeff_welfare.html |
| Economically Stressed | US | Unemployment Rate In 2004 | US_BLS.txt | Counties with the highest rate of unemployment are in dark orange; those with lowest unemployment rates are in dark green. | us_jeff_unempl.html |
| Economically Stressed | US | Share of Total Population with Income Below the Poverty Level (1999) | TBL_Census.txt | us_jeff_poverty.html | |
| Economically Stressed | US | Age Dependency Ratio (Young + Retired / Working Age) | TBL_Census.txt | The dependency ratio is a measure of the potential economic productivity of the population. Areas in dark orange have a high ratio of young and/or elderly relative to the workforce. | us_jeff_agedepend.html |
| Economically Stressed | US | Age Related Income Share of Total Personal Income | TBL_REIS.txt | Age-related income is measured as federal payments for retirement, disability and medicare as a share of total personal income. Areas with a high share of total personal income are shown in dark orange. | us_jeff_agerelshr.html |
| Economically Stressed | US | Percent Of Adult Population With Less a Than High School Education | TBL_Census.txt | Counties in dark orange have a high percentage of their adult population with less than a high school education. | us_jeff_pnohighsch.html |
| Economically Stressed | US | Nonlabor Income Share Of Total (2004) | TBL_REIS.txt | Non-labor income consists of federal Transfer Payments, plus earnings from Dividends, Interest and Rent. It does not include private pensions. | us_jeff_nonlabshr.html |
| Economically Stressed | CN | Economic Stress Index | NA | Regional districts in dark red are relatively stresssed economically according to a composite of four criteria. Each criterion is mapped seperately in subsequent maps. | castress.html |
| Economically Stressed | CN | Dependency Ratio (Kids + Retired / Working Age) | NA | The dependency ratio is a measure of the potential economic productivity of the population. Areas in dark orange have a high ratio of young and/or elderly relative to the workforce. | cadepratio.html |
| Economically Stressed | CN | Incidence of Low Income Families in 2000 | NA | This map shows the percent of families who are 'low income' according BC Stats in 2000. | calowincfam.html |
| Economically Stressed | CN | Percent of Population with Less than High School Education | NA | Regional districts in dark orange have a high percentage of their adult population with less than a high school education. | cashrnohighsch.html |
| Economically Stressed | CN | Unemployment Rate | NA | Regional districts with the highest rate of unemployment are in dark orange; those with lowest unemployment rates are in dark green. | caunr.html |
| Personal Prosperity | US | Personal Prosperity Index | US_PersPros.txt | The most prosperous counties, in terms of four combined measures that affect individual well-being, are shown in dark green. Individual criteria for this index are shown in subsequent maps. | compositeprosp.html |
| Personal Prosperity | US | Average Earnings Per Job (2004) | TBL_REIS.txt | Counties with the large concentrations of high wage jobs are in dark green. Average earnings per job are a measure of the well-being of the workforce. This measure is different from per capita income, which may be high even when wages are low, because of substantial non-labor income. | us-template-jeff-avgearn04.html |
| Personal Prosperity | US | Per Capita Income (2004) | TBL_REIS.txt | Counties with high per capita income are shown in green. Per capita income consists of all income (labor and non-labor) divided by population. | us-template-jeff-pci04.html |
| Personal Prosperity | US | Educational Attainment BA or Greater Share of Total | TBL_Census.txt | This map shows relative educational attainment, measured as the percent of adult population with a bachelor's degree or higher. Counties in red are the least educated. | us_jeff_baorgreater.html |
| Personal Prosperity | US | Census Knowledge Based Jobs Share of Total | TBL_Census.txt | This map shows the percent of total employment in occupations that require a college degree. Counties in red have the lowest proportion of their employment in knoweldge-based sectors. | us_jeff_pcollege.html |
| Personal Prosperity | CN | Personal Prosperity Index | NA | The most prosperous regional districts, in terms of three combined measures that affect individual well-being, are shown in dark green. Individual criteria for this index are shown in subsequent maps. | capp.html |
| Personal Prosperity | CN | Share of Jobs Requiring College | NA | This map shows the percent of total employment in occupations that require a college degree. Regional districts in orange have the lowest proportion of their employment in knoweldge-based sectors. | capcollege.html |
| Personal Prosperity | CN | Average Income in 2000 | NA | Regional districts with the highest average income (population 15 and over) are in dark green. | caavginc.html |
| Personal Prosperity | CN | Education Levels | NA | This map shows relative educational attainment, measured as the percent of adult population with a bachelor's degree or higher. Regional districts in green are the most educated. | cabaorgreater.html |
| Demography | US | Annual Population Change from 1990 to 2005 by County | TBL_Census.txt; TBL_CensusEst.txt | Dark purple represents the fastest growing counties; blue shows counties losing population. | pop9005.html |
| Demography | US | Composition of Population Change 2000-2005: Migration vs. Natural Change | TBL_Census.txt; TBL_CensusEst.txt | Blue dots represent areas with net in-migration; red dots show areas with net out-migration. Green dots show areas with more births than deaths; black dots show areas with more deaths than births. Areas with blue and black dots are likely retirement destinations. Areas with red and green are growing due to in-migration and births. | migration.html |
| Demography | US | Projected Annual Population Change from 2005 to 2020 by County | TBL_Census.txt; TBL_CensusProj.txt | This map shows the projected population growth by county from 2005 to 2020 according to calculations made by Headwaters Economics, using data from the Bureau of the Census. Counties in dark purple are projected to grow the fastest, while those in blue are projected to lose population. | pop0520.html |
| Demography | US | Hispanic Population as Share of Total by County | TBL_Census.txt | hispanic.html | |
| Demography | US | Native American Population as Share of Total by County | TBL_Census.txt | native.html | |
| Demography | US | Share of Total Population 65 and Older by County | TBL_Census.txt | old.html | |
| Demography | US | Share of Total Population Under 18 by County | TBL_Census.txt | young.html | |
| Demography | CN | Annual Population Change per Regional District (1990-2006) | NA | Dark red represents rapid population growth; blue indicates population loss. | capopchg199020.html |
| Demography | CN | Composition of Population Change 2001-2005: Migration vs. Natural Change | NA | Blue dots represent areas with net in-migration; red dots show areas with net out-migration. Green dots show areas with more births than deaths; black dots show areas with more deaths than births. The Central Coast is losing population, while the Lower Mainland is gaining population. | cadotmigr.html |
| Demography | CN | Net Migration 5 yr. Average 2001-2005 | NA | Regional districts in green have the highest rates of in-migration. Regional districts in red are losing population. | canetmigr.html |
| Recreation | US | Nonmetropolitan Recreation Counties | TBL_ERS.txt | This map shows in purple the non-metropolitan counties whose economy is dependent on recreation-related industries, according to Johnson and Beale of the USDA's Economic Research Service. | nonmetrorecrea.html |
| Recreation | CN | Recreation Dependency | NA | This map shows the relative dependence on tourism and recreation-related employment. Regional districts in purple are more dependent on these industries. | carecreation.html |
| Resource Dependent | US | 2003 Share of Employment in Resource Extraction: Forestry, Mining, Fishing, Hunting, Wood and Paper Manufacturing, and Agricultural Support | TBL_CBP.txt | This map shows the relative dependence on resources extraction in 2003, defined as employment (excluding proprietors) in:1) Forestry, Fishing, Hunting, and Agriculture Support, 2) Mining, 3) Wood Product Manufacturing, and 4) Paper Manufacturing. Counties in purple are heavily resource dependent. | extraction.html |
| Resource Dependent | CN | Share of Employment in Resource Extraction in 2001 | CAN_ResDep.txt | This map shows the relative dependence on resources extraction in 2001, defined as employment (excluding proprietors) in: Resource Dependence Includes: 1) Logging and Forest Products 2) Mining and Mineral Products. Counties in purple are heavily resource dependent. | caextract.html |
| US Elections | US | 2004 Presidential Election Results by County | US_CNTY_Election2004.txt | This map shows counties where a majority voted for Bush (red) or Kerry (blue) in the 2004 Presidential election. | presel.html |
| US Elections | US | 2004 Presidential Election Results by County: Percent of Votes for George W. Bush | US_CNTY_Election2004.txt | This map shows the percent of votes cast for Bush by county in the 2004 Presidential election. Dark red indicates a high percent; dark blue indicates a low percent. Light blue indicates swing counties. | preselbush.html |
| US Elections | US | 2004 Presidential Election Results by County: Percent of Votes for John Kerry | US_CNTY_Election2004.txt | This map shows the percent of votes cast for Kerry by county in the 2004 Presidential election. Dark blue indicates a high percent; dark red indicates a low percent. Yellow indicates swing counties. | preselkerry.html |
| Canadian Elections | CN | 2005 Provincial Election Results by Electoral District | NA | This map shows 2005 provincial election results for major parties by electoral district. | BCel2005.html |
| Canadian Elections | CN | 2005 Provincial Election Results by Electoral District: Percent of Votes for Parties Other Than NDP and LIB | NA | This map shows 2005 provincial election results for political parties other than the Liberal Party and New Democratic Party by electoral district. | BCel2005Other.html |
| Canadian Elections | CN | 2005 Provincial Election Results by Electoral District: Percent of Votes for the Liberal Party | NA | This map shows the percent of votes cast for the Liberal Party in the 2005 provincial election. Darker shades of blue indicate higher vote percentages. | BCel2005LIB.html |
| Canadian Elections | CN | 2005 Provincial Election Results by Electoral District: Percent of Votes for the New Democratic Party | NA | This map shows the percent of votes cast for the New Democratic Party in the 2005 provincial election. Darker shades of red indicate higher vote percentages. | BCel2005NDP.html |
| Land Conservation Ballot Measures | US | Land Conservation Ballot Measures by County | US_CNTY_ConsBallots.txt | This map shows land conservation ballot measures at the county level. Green indicates passage. Red indicates failure. Counties with yellow outlines have had more than one ballot measure. | BallotCounty.html |
| Land Conservation Ballot Measures | US | Land Conservation Ballot Measures by Municipality | US_CNTY_ConsBallots.txt | This map shows land conservation ballot measures at the municipal level. Green indicates passage. Red indicates failure. | BallotMuni.html |
| Conservation Groups | US | Number of Environmental, Conservation, and Wildlife Organizations in 2003 | TBL_CBP.txt | This map shows the number of environmental, wildlife, and consrvation organizations by county. Blue indicates more, green less, and yellow none. Not all groups work in the places where they are located. | envirogrps.html |
| Legislative Conservation Voting | US | National Legislative Scorecard Ratings: House of Represenatives | US_CongressionalDistricts109.txt; US_HD_Scorecard.txt | This map shows legislative scorecard ratings by the League of Conservaton Voters for the U.S. House of Representatives. | housescorecard.html |
| Legislative Conservation Voting | US | National Legislative Scorecard Ratings: Senate | US_CongressionalDistricts109.txt; US_SD_Scorecard.txt | This map show legislative scorecard ratings by the League of Conservaton Voters for the U.S. Senate. | senatescorecar.html |
| Legislative Conservation Voting | US | State Legislative Scorecard Rating by State House District | US_StateHouseDistricts.txt; US_STHD_Scorecard.txt | This map shows legislative scorecard ratings by state league's of conservation voters for state House Districts. As the scores are based on different bills, scores are not comparable between states. All states are based on 2005 data except Idaho which is based on 2006. | ScorecardHouse.html |
| Legislative Conservation Voting | US | State Legislative Scorecard Rating by State Senate District | US_StateSenateDistricts.txt; US_STSD_Scorecard.txt | This map shows legislative scorecard ratings by state league's of conservation voters for state Senate Districts. As the scores are based on different bills, scores are not comparable between states. All states are based on 2005 data except Idaho which is based on 2006. | ScorecardSenat.html |
Headwaters Economics
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