An Open Context "types" dataset item. Open Context publishes structured data as granular, URL identified Web resources. This record is part of the "Indiana Site Files" data publication.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Base « demande de valeurs foncières » compilant cinq années de transactions immobilières et foncières sur la commune.

Egypt Number of Housing Units: Census: Urban: Habitation data was reported at 4,037,139.000 Unit in 2017. This records a decrease from the previous number of 7,870,467.000 Unit for 2006. Egypt Number of Housing Units: Census: Urban: Habitation data is updated yearly, averaging 5,395,117.500 Unit from Dec 1986 (Median) to 2017, with 4 observations. The data reached an all-time high of 7,870,467.000 Unit in 2006 and a record low of 4,037,139.000 Unit in 2017. Egypt Number of Housing Units: Census: Urban: Habitation data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.EB012: Number of Housing Units: Census: by Type of Use: Urban.

This scientific report is the third and final monograph to emerge from the Odyssey project ‘Unlocking Noord-Holland’s Late Neolithic Treasure Chest: Single Grave Culture behavioural variability in a tidal environment’. It focuses on the analysis of the Zeewijk site, excavated in 1992, 1993 and 1994. In one of the trenches of Zeewijk-East the remains of a large, unusual structure were revealed. This discovery made the Dutch site well known among archaeologists abroad. Due to its large size, it was only partially excavated, yielding a very high quantity of finds.This forced the Odyssey project team to make selections.Looking back at the analysis and publication of the fairly small sites at Keinsmerbrug and Mienakker, the new information added by the much larger Zeewijk site is fascinating. The new results and interpretations are presented in this volume.The analyses show that Zeewijk was a location where recurrent habitation took place, year-round and intensive, alternating with subsistence activities. It is a permanent mosaic of different assemblages: relocated dwellings, cultivated plots, a large variety of local crafts and the building and partial demolition of a remarkable ritual structure in Zeewijk-East. This points to a community of several families, with ties of kinship both genetic and affinal. Date: 13 April to 3 October 1992 Date: 13 April to 10 September 1993 Date: 28 April to July 1994

This layer consists of the merged footprints of the USFWS critical habitat and the USFWS proposed Bi-State Sage-Grouse critical habitat,1 clipped to California. Critical habitat constitutes areas considered essential for the conservation of a listed species. These areas provide notice to the public and land managers of the importance of the areas to the conservation of this species. Special protections and/or restrictions are possible in areas where Federal funding, permits, licenses, authorizations, or actions occur or are required. The critical habitat footprint shown here is used as part of the biological planning priorities in the CEC 2023 Land-Use Screens and removes technical resource potential from the state. More information about this layer and its use in electric system planning is available in the Land Use Screens Staff Report in the CEC Energy Planning Library. [1] This dataset is obtained from the "Web Links" section (USFWS Proposed Critical Habitat Map) of the Bi-State Sage-Grouse Maps & GIS webpage, available at Maps & GIS | Bi-State Sage-Grouse (bistatesagegrouse.com).

Migration Survey: Rates of migrants by habitat of destination, activity rates and unemployment rates and sex. National.

Number of Housing Units: Census: Urban: Habitation: Lower Egypt: Ismailia data was reported at 64,754.000 Unit in 2017. This records a decrease from the previous number of 108,567.000 Unit for 2006. Number of Housing Units: Census: Urban: Habitation: Lower Egypt: Ismailia data is updated yearly, averaging 73,389.000 Unit from Dec 1986 (Median) to 2017, with 4 observations. The data reached an all-time high of 108,567.000 Unit in 2006 and a record low of 56,199.000 Unit in 1986. Number of Housing Units: Census: Urban: Habitation: Lower Egypt: Ismailia data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.EB012: Number of Housing Units: Census: by Type of Use: Urban.

This dataset concerns habitation of houses in the inner city of Leiden in the period 1890-1899 and 1930-1940. Focal point of the research was the relation between macro-economic developments in the Netherlands and demographic behaviour in Leiden. The data was collected during a seminar on Social History in 1976 and 1977, Leiden University.

This dataset is about books and is filtered where the book is Local habitation : a sequence of poems, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

Snapshot img

Space Habitat Market Size 2025-2029

The space habitat market size is forecast to increase by USD 4.43 billion at a CAGR of 13.7% between 2024 and 2029.

The market is experiencing significant growth, driven by key trends such as the adoption of reusable launch vehicles and the provision to recycle resources in space. These advancements are crucial for the expansion of human presence in space and the development of long-term space colonization. However, challenges remain, including insufficient infrastructure and integrated technology for space colonization. The space habitat industry is poised for product innovation and technological breakthroughs, with potential applications in both civil and military sectors. Modular building methods and advanced life support technologies are key trends, with innovations in artificial gravity, inflatable space habitats, and closed loop systems. Addressing these challenges will require continued innovation and investment In the space industry. The market analysis report provides an in-depth examination of these factors and their impact on the growth of the market.

What will be the Size of the Space Habitat Market During the Forecast Period?

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The market encompasses the development and deployment of sustainable homes and research stations in space, with a focus on the Moon and Mars. These habitats provide radiation protection shielding and life support systems for astronauts and researchers, enabling extended stays and exploration missions. The market is driven by the growing demand for lunar and Mars expeditions, as well as the pursuit of sustainable ecosystems and resource extraction outposts.
Product development is also influenced by material science advancements and the need for sustainable energy sources. The market includes both commercial and defense industry applications, with a long-term goal of creating self-sufficient space colonies on Earth's celestial neighbors.

How is this Space Habitat Industry segmented and which is the largest segment?

The space habitat industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Service

  Non-inflatable
  Inflatable


End-user

  Government
  Private


Type

  Scientific research
  Long-term space missions
  Manufacturing and production
  Space tourism


Sector

  Chemical propulsion
  Electric propulsion
  Others


Geography

  North America

    Canada
    US


  APAC

    China
    India
    Japan


  Europe

    Germany
    UK
    France
    Italy


  Rest of World (ROW)

By Service Insights

The non-inflatable segment is estimated to witness significant growth during the forecast period.

Space habitats are essential infrastructure for extended human presence in space, particularly on the Moon and Mars. Non-inflatable space habitats offer structural integrity, making them suitable for long-duration missions. Their solid walls provide resistance to micrometeoroid impacts and space hazards, ensuring the safety of astronauts and equipment. These habitats can support sustainable homes, research stations, and resource extraction outposts. Life support systems, radiation protection shielding, and thermal protection systems are integral components of these habitats. Modular building methods and advanced life support technologies enable the creation of sustainable ecosystems withIn these habitats. Closed loop systems ensure efficient resource utilization, reducing the need for resupply missions.

Inflatable space habitats offer flexibility but may have shorter operational lifespans due to potential wear and tear. Non-inflatable space habitats are versatile and can cater to various sectors, including military, civil, commercial, and scientific research. They can be designed using traditional or advanced techniques, such as 3D printing, and can be integrated with reusable rockets, such as SpaceX's Starliner and the International Space Station. Space tourism and CubeSats can also benefit from these habitats. The space habitat industry is witnessing significant product innovation and technological breakthroughs. Key areas of focus include radiation shielding, artificial gravity, and sustainable ecosystems. International collaboration among commercial entities, governments, and research institutions is essential for the development and deployment of these habitats. Investment in this sector is expected to grow as space exploration continues to expand beyond Earth.

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The non-inflatable segment was valued at USD 3.2 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 54% t

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

The dataset contains NSS 78th round compiled data on Percentage of Persons by Location of their Last Usual Place of Residence i.e. living in the same state, another state or country. NSS considers a particular place as the last usual place of residence of people, where the people have lived in the same place for six months or more.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

Visualization of areas described in Vancouver Municipal Code 8.22.040, sections A through D. These areas include:LibrariesCity-owned parking lots and buildingsAreas within 1000' of Safe Stay locationsDeveloped City park landsLand used to operate a public water station, wastewater, or stormwater facilityFire impacted lands specified in 8.22.040.B.4Land within 200' of major water bodies

This is a dataset download, not a document. The Open button will start the download.This data layer is an element of the Oregon GIS Framework. Oregon Fish Habitat Distribution. These data describe areas of suitable habitat believed to be used currently or historically by native or non-native fish populations. The term "currently" is defined as within the past five reproductive cycles. Historical habitat includes suitable habitat that fish no longer access and will not access in the foreseeable future without human intervention. This information is based on sampling, the best professional opinion of Oregon Dept. of Fish and Wildlife or other natural resources agency staff biologists or modeling (see the fhdBasis field). Due to natural variations in run size, water conditions, or other environmental factors, some habitats identified may not be used annually. These data now comply with the Oregon Fish Habitat Distribution Data Standard that was adopted by the Oregon Geographic Information Council in April 2020. The Standard document can be found at: https://www.oregon.gov/geo/standards/OregonFishHabitatDistributionDataStandard_v4.pdf. Historical habitat distribution data are within the scope of the standard and are identified via the habitat use (fhdUseType) attribute. Historical habitats are only identified outside of currently accessible habitat and are not comprehensive. Data representing current habitat for anadromous and resident salmonid species are generally more comprehensive than data for non-game and non-native fish species. All datasets are subject to update as new information becomes available. Key features of the Oregon Fish Habitat Distribution Data include: species, run, life history, habitat use, origin, production, the basis for each record, originator name, originator entity and reference. Habitat distribution data are mapped at a 1:24,000 scale statewide and are based on the National Hydrography dataset. The data are made available as GIS files in both shapefile and ESRI geodatabase format. The data were developed over an extensive time period ranging from 1996 to 2022. The data are now managed on the National Hydrography Dataset and have been synchronized to December 2021 NHD geometry.Procedures_Used: These data were originally created through a process where 1:100,000 scale fish habitat distribution data (current as of 2001) were plotted on 1:24,000 scale USGS quadrangle maps and then provided to ODFW and other natural resources agency field staff. Based on survey data, supporting documentation, and the best professional judgment of the field biologists, different types (spawning, rearing, migration, etc.) of species specific habitat distribution (see the fhdUseTy field) were marked on the maps with colored pens. Additional attributes such as source contributors, agencies and the basis of the data were also collected. These hardcopy data were then digitized by ODFW GIS staff and stored as event tables based on the PNW River Reach files at 1:100,000 scale. Habitat locations identified outside of the 1:100,000 scale stream network were captured as upstream points associated with 1:24,000 scale streams. Beginning in 2007 and ending in 2008, the data were migrated to events associated with the Pacific Northwest Framework Hydrography 1:24,000 scale stream network. All habitat distribution records are now in a single, consistent linear event format. Revisions: The first 1:100,000 scale version of the data was completed in 1996. Significant revisions at that scale were also made in 1999. The 1:24K Mapping Project occurred between 2001 - 2003 and data were published in 2004. Data were migrated to events mapped on the 1:24,000 PNW Framework hydrography in 2007 and 2008. Significant revisions since 2004 include additions of anadromous habitat in the upper Deschutes and upper North

This dataset is about book series and is filtered where the books is L'habitation en Allemagne. It has 10 columns such as book series, earliest publication date, latest publication date, average publication date, and number of authors. The data is ordered by earliest publication date (descending).

This dataset is about books and is filtered where the book is Multi-habitation : urban housing and everyday life in Chitungwiza, Zimbabwe, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).