# Global Data Marketplace

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## Overview

AlphaGeo’s Global Data Marketplace is a comprehensive, curated catalog of **proprietary geospatial datasets** designed to answer critical questions around **location dynamism and resilience**. From **climate risk and adaptation** to **macroeconomic, demographic, real estate, and socioeconomic** indicators, our data enables a wide range of analytical use cases.

The Marketplace also provides direct, modular access to the full library of proprietary datasets that power our core analytics products — from the Climate Risk and Resilience Index to the Location Dynamism Signals. This gives users the flexibility to access specific datasets without needing to subscribe to the full analytics stack.

## Data features

* **Update Frequency:** Depends on dataset (Quarterly to annually)
* **Supported Data Formats:** Parquet, GeoPackage
* **Query Granularity:** Can be downscaled to address-level
* **Resolution**: Various; refer to our [Data Dictionary](/for-developers/data-dictionary.md) for more details
* **Proprietary datasets:**&#x20;
  * [Climate Risk and Resilience](#climate-risk) scores
  * [Climate Adaptation](#climate-adaptation) datasets
  * [Climate Financial Impact](#climate-financial-impact) datasets
  * Population Growth Forecast to 2050
  * Corporate Greenfield Investment Tracker
  * EV Charging Stations
  * Data Center Heat Map
  * Federal Land Eligible for Privatization
  * El Niño Southern Oscillation Impact on HPI

## Data themes (Links to section)

1. [Climate Risk](#climate-risk-datasets)
2. [Climate Adaptation](#climate-adaptation-datasets)
3. [Climate Financial Impact](#climate-financial-impact-datasets)
4. [Climate Real Estate Impact](#climate-real-estate-impact)
5. [Demographic Trends](#demographic-trend)
6. [Economic Complexity & Innovation](#economic-complexity-and-innovation)
7. [Environmental Sustainability](#environmental-sustainability)
8. [Energy Reliability & Security](#energy-reliability-and-security)
9. [Fiscal Health](#fiscal-health)
10. [Governance & Regulatory Environment](#governance-and-regulatory-environment)
11. [Geopolitics & Diplomacy](#geopolitics-and-diplomacy)
12. [Infrastructure & Connectivity](#infrastructure-and-connectivity)
13. [Labor Market Dynamics](#labor-market-dynamics)
14. [Liveability & Social Wellbeing](#liveability-and-social-wellbeing)
15. [Macroeconomic Performance](#macroeconomic-performance)
16. [Market & Business Conditions](#market-and-business-conditions)
17. [Migration & Talent Flows](#migration-and-talent-flows)
18. [Real Estate Market Data](#real-estate-market-data)
19. [Societal Income & Wealth](#societal-income-and-wealth)

## Pricing

Global Data Marketplace datasets are bespoke based on the following, with a discount for multiple datasets purchased:

* Dataset(s) selected
* Degree of proprietary engineering or analytical transformation.
* Granularity
* Geographic coverage

Interested customers should contact us at <info@alphageo.ai> for a quote.

## Climate Risk&#x20;

<table><thead><tr><th width="181.5390625">Theme</th><th width="201.4140625">Dataset</th><th width="149">Bundled or Individual?</th><th width="432.3828125">Description</th><th width="189.89453125">Type of Dataset</th><th width="92">Geographic Coverage</th><th width="92">Date Range</th></tr></thead><tbody><tr><td>Climate Risk</td><td>Global Climate Risk And Resilience Index</td><td>Bundled</td><td>Full access to all Climate Risk and Resilience-adjusted Risk scores, as well as underlying Climate Risk and Climate Adaptation datasets used to drive these metrics.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Overall Climate Physical Risk Score</td><td>Individual</td><td>Global percentile rank of a location for climate physical risk on a scale of 0 - 100. A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Overall Climate Resilience-adjusted Risk Score</td><td>Individual</td><td>Global percentile rank of a location for resilience-adjusted climate risk on a scale of 0 - 100. A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Mean Climate Physical Risk Score</td><td>Individual</td><td>Mean physical climate risk score taking the average of all hazard-specific risk scores (heat stress, inland flooding, coastal flooding, drought, hurricane wind, and wildfire) for a location. A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Mean Climate Resilience-adjusted Risk Score</td><td>Individual</td><td>Mean resilience-adjusted  risk score taking the average of all hazard-specific resilience-adjusted risk scores (heat stress, inland flooding, coastal flooding, drought, hurricane wind, and wildfire) for a location. A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Climate Physical Risk Score: Heat Stress</td><td>Individual</td><td>Heat risk score with a scale of 0 - 100. Calculated from Annual Cooling Degree Days (CDD). A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Climate Physical Risk Score: Inland Flooding</td><td>Individual</td><td>Inland flooding risk score, on a scale of 0 - 100. Calculated from annual days with heavy precipitation (PR_DAYS_10MM) and 1000-year riverine flood inundation depth (R_INUN_RP1000). A higher score indicates greater risk. </td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Climate Physical Risk Score: Coastal Flooding</td><td>Individual</td><td>Coastal flooding risk score, on a scale of 0 - 100. Calculated from mean sea level rise (SLR_CHG) and coastal inundation levels (C_INUN_RP1000). A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Climate Physical Risk Score: Drought</td><td>Individual</td><td>Drought risk score, on a scale of 0 to 100. Calculated from the increase in the number of dry days (MAX_CONS_DRYDAYS), hot days (HOTDAYS105), and water demand (WS). A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Climate Physical Risk Score: Hurricane Wind</td><td>Individual</td><td>Hurricane wind risk score, on a scale of 0 - 100. Calculated from the annual frequency (HU_AF) of hurricanes. A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Climate Physical Risk Score: Wildfire</td><td>Individual</td><td>Wildfire risk score, on a scale of 0 - 100. Calculated from the increase in hot days (HOTDAYS105) and dry days (MAX_CONS_DRYDAYS) in vegetated areas (AVG_VC). A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Resilience-adjusted Risk Score: Heat Stress</td><td>Individual</td><td>Resilience-adjusted heat risk score, on a scale of 0 to 100. This score incorporates the Urban Heat Island effect, as measured by building density and green coverage in a location, into the HEAT_SCORE. A higher score indicates a greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Resilience-adjusted Risk Score: Inland Flooding</td><td>Individual</td><td>Resilience-adjusted inland flooding risk score, on a scale of 0 - 100. Calculated by factoring elements of surface porosity, flood control measures and defense infrastructures to the INLAND_SCORE. A higher score indicates greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Resilience-adjusted Risk Score: Coastal Flooding</td><td>Individual</td><td>Resilience-adjusted coastal flooding risk score, on a scale of 0 to 100. This score incorporates elements of coastal flood control measures and defense infrastructures into the COASTAL_SCORE. A higher score indicates a greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Resilience-adjusted Risk Score: Drought</td><td>Individual</td><td>Resilience-adjusted drought flooding risk score, on a scale of 0 to 100. This score incorporates the availability and capacity of water works and emergency water supplies into the DROUGHT_SCORE. A higher score signifies a greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Resilience-adjusted Risk Score: Hurricane Wind</td><td>Individual</td><td>Resilience-adjusted hurricane wind risk score, on a scale of 0 to 100. This score incorporates the strength of buildings and water control measures in a location into the WIND_SCORE. A higher score denotes a greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Resilience-adjusted Risk Score: Wildfire</td><td>Individual</td><td>Resilience-adjusted wildfire score, on a scale of 0 to 100. This score incorporates the effectiveness of fire monitoring and fire defense infrastructure into the FIRE_SCORE. A higher score signifies a greater risk.</td><td>Proprietary Analytics</td><td>Global</td><td>2005 - 2100</td></tr><tr><td>Climate Risk</td><td>Cooling Degree Days</td><td>Individual</td><td>Annual Cooling Degree Days (CDD), measuring cumulative heat exposure where daily averages exceed 22°C.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Number Of Days With Daily Maximum Temperature > 95 Degrees Fahrenheit</td><td>Individual</td><td>Number of days annually with maximum temperatures exceeding 95°F, indicating the frequency of extreme heat events.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Number Of Days With Daily Maximum Temperature > 105 Degrees Fahrenheit</td><td>Individual</td><td>Number of days annually with maximum temperatures exceeding 105°F, signaling high exposure to extreme heat.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Annual Maximum Temperature In Fahrenheit</td><td>Individual</td><td>Annual maximum temperature (°F), capturing peak recorded heat for the year.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Annual Maximum Temperature In Celsius</td><td>Individual</td><td>Annual maximum temperature (°C), providing a globally standardized heat extreme indicator.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Annual Days With Precipitation More Than 10Mm</td><td>Individual</td><td>Number of days per year with precipitation over 10mm, indicating the frequency of heavy rainfall events.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Average Daily Mean Precipitation In Inches</td><td>Individual</td><td>Average daily mean precipitation in inches, reflecting long-term rainfall patterns.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Average Daily Mean Precipitation In Millimeters</td><td>Individual</td><td>Average daily mean precipitation in millimeters, providing a metric for moisture accumulation.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>100-Year Riverine Flooding Inundation Depth</td><td>Individual</td><td>Modeled 100-year riverine flood depth (meters), indicating inundation risk for 1-in-100 year flood events.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>250-Year Riverine Flooding Inundation Depth </td><td>Individual</td><td>Modeled 250-year riverine flood depth (meters), reflecting more extreme, lower-probability inland flooding.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>1000-Year Riverine Flooding Inundation Depth</td><td>Individual</td><td>Modeled 1000-year riverine flood depth (meters), assessing catastrophic inland flood scenarios.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>100-Year Coastal Flooding Inundation Depth</td><td>Individual</td><td>Modeled 100-year coastal flood depth (meters), estimating flood levels during 1-in-100 year coastal events.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>250-Year Coastal Flooding Inundation Depth </td><td>Individual</td><td>Modeled 250-year coastal flood depth (meters), reflecting rare but impactful coastal flood scenarios.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>1000-Year Coastal Flooding Inundation Depth </td><td>Individual</td><td>Modeled 1000-year coastal flood depth (meters), indicating risk from the most extreme sea-level rise and surge events.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Mean Sea Level Change In The Coastal Area Compared To 2015 In Meters</td><td>Individual</td><td>Projected mean sea level rise since 2015 (meters), indicating long-term exposure for coastal areas.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Maximum Number Of Consecutive Dry Days </td><td>Individual</td><td>Maximum consecutive dry days annually, highlighting prolonged drought conditions.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Water Stres</td><td>Individual</td><td>Water Stress Index (WSI), calculated as total water demand relative to renewable supply. Values above 1 indicate scarcity.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Average Maximum Sustained Wind Speed </td><td>Individual</td><td>Historical average of maximum sustained wind speeds, reflecting a location’s storm intensity exposure.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Hurricane Category (Saffir-Simpson Hurricane Wind Scale)</td><td>Individual</td><td>Hurricane category based on the Saffir-Simpson scale, associated with local wind exposure profiles.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Hurricane 100-Year Return Period</td><td>Individual</td><td>100-year hurricane return period, indicating the likelihood of a major hurricane impacting the area.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Risk</td><td>Average Percentage Burnable Fuel Across Different Vegetation Covers </td><td>Individual</td><td>Average percentage of burnable vegetation within a 2km radius, used to assess wildfire fuel load.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr></tbody></table>

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## Climate Adaptation

<table><thead><tr><th width="184">Theme</th><th width="190.7578125">Dataset</th><th width="149">Bundled or Individual?</th><th width="344.60546875">Description</th><th width="182.08984375">Type of Dataset</th><th width="92">Geographic Coverage</th><th width="92">Date Range</th></tr></thead><tbody><tr><td>Climate Adaptation</td><td>Global Adaptation Layer</td><td>Bundled</td><td>Full access to hazard-specific adaptation scores and all underlying data inputs used to derive resilience metrics (see below).</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Heat Stress Adaptation</td><td>Individual</td><td>Hazard-specific adaptation score derived from location-specific physical and infrastructural features, and underlying data features used to derive hazard-specific Adaptation Score.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Hurricane Adaptation</td><td>Individual</td><td>Hazard-specific adaptation score derived from location-specific physical and infrastructural features, and underlying data features used to derive hazard-specific Adaptation Score.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Inland Flooding Adaptation</td><td>Individual</td><td>Hazard-specific adaptation score derived from location-specific physical and infrastructural features, and underlying data features used to derive hazard-specific Adaptation Score.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Coastal Flooding Adaptation</td><td>Individual</td><td>Hazard-specific adaptation score derived from location-specific physical and infrastructural features, and underlying data features used to derive hazard-specific Adaptation Score.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Drought Adaptation</td><td>Individual</td><td>Hazard-specific adaptation score derived from location-specific physical and infrastructural features, and underlying data features used to derive hazard-specific Adaptation Score.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Wildfire Adaptation</td><td>Individual</td><td>Hazard-specific adaptation score derived from location-specific physical and infrastructural features, and underlying data features used to derive hazard-specific Adaptation Score.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Urban Building Density Index</td><td>Individual</td><td>Urban building density index reflecting the concentration of built structures. Higher values indicate increased vulnerability to Urban Heat Island (UHI) effects.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Urban Greenery Density Index</td><td>Individual</td><td>Urban greenery density measuring vegetation coverage in built environments. Higher values help mitigate UHI effects and support microclimate regulation.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Surface Porosity Index</td><td>Individual</td><td>Ratio of porous ground surfaces, such as permeable pavement and soil. Higher values reduce runoff and help manage flash flood risk.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Inland Flood Barrier Proximity Index</td><td>Individual</td><td>Proximity to manmade inland flood barriers, such as dykes and retaining walls. Higher scores indicate stronger local flood protection infrastructure.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Inland Flood Storage &#x26; Control Infrastructure Index</td><td>Individual</td><td>Proximity to dedicated flood storage and control systems, including reservoirs and retention basins.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Inland Drainage Capacity Index</td><td>Individual</td><td>Assessment of nearby drainage infrastructure, such as ditches and storm drains. Higher values indicate better drainage capacity and flood mitigation.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Nature-Based Inland Flood Protection Index</td><td>Individual</td><td>Proximity to nature-based flood defense systems, including wetlands and bioswales, which offer sustainable flood control.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Coastal Defense Infrastructure Proximity Index</td><td>Individual</td><td>Proximity to manmade coastal flood defense structures such as seawalls, breakwaters, and groynes. Higher values reflect stronger coastal protection.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Natural Coastal Buffer Proximity Index</td><td>Individual</td><td>Proximity to natural coastal buffers, such as beaches, dunes, reefs, and atolls. Higher values indicate increased resilience to coastal flooding.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Coastal Drainage Capacity Index</td><td>Individual</td><td>Proximity to stormwater drainage systems, including open channels and piped networks, aiding local water runoff management.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Coastal Flood Control Infrastructure Index</td><td>Individual</td><td>Proximity to stormwater and flood control infrastructure like basins, floodgates, and water level monitoring stations.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Building Strength Index</td><td>Individual</td><td>Building material strength index estimating structural resilience. Higher values reflect presence of wind-resistant buildings, such as high-rise concrete structures.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Water And Wastewater Facility Proximity Index</td><td>Individual</td><td>Proximity to water and wastewater treatment or monitoring facilities. Higher values indicate stronger water system infrastructure.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Water Storage Infrastructure Index</td><td>Individual</td><td>Proximity to water collection and storage infrastructure, including reservoirs and tanks, supporting local supply capacity.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Emergency Water Distribution Amenity Index</td><td>Individual</td><td>Proximity to emergency water distribution amenities such as public taps and drinking fountains. Higher values indicate local readiness.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Groundwater Well Access Index</td><td>Individual</td><td>Proximity to underground water wells, a critical freshwater source especially in under-resourced or drought-prone areas.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Fire Response Infrastructure Index</td><td>Individual</td><td>Proximity to firefighting infrastructure, including hydrants and emergency water tanks. Higher values reflect stronger fire response capacity.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Fire Prevention Measure Coverage Index</td><td>Individual</td><td>Presence of fire prevention infrastructure such as forest firebreaks and cutlines designed to halt fire spread.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Adaptation</td><td>Fire Detection Infrastructure Index</td><td>Individual</td><td>Presence of fire detection infrastructure such as lookout towers. Higher values indicate improved early-warning capability.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr></tbody></table>

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## Climate Financial Impact&#x20;

<table><thead><tr><th width="194.58984375">Theme</th><th width="194.13671875">Dataset</th><th width="168.22265625">Bundled or Individual?</th><th width="413.53125">Description</th><th width="187.0546875">Type of Dataset</th><th width="92">Geographic Coverage</th><th width="92">Date Range</th></tr></thead><tbody><tr><td>Climate Financial Impact</td><td>Financial Impact Analytics</td><td>Bundled</td><td>Full access to all Climate Financial Impact metrics and underlying data inputs used to derive these metrics (see below).</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate Insurance Premium Impact - Fire</td><td>Individual</td><td>Projected annual insurance premium growth rate for fire insurance based on the change in estimated damage due to wildfire in the next 25 years.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate Insurance Premium Impact - Flood</td><td>Individual</td><td>Projected annual insurance premium growth rate for flood insurance on the change in estimated damage due to coastal and/or inland flooding and/or hurricane in the next 25 years.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate Insurance Premium Impact</td><td>Individual</td><td>Projected total annual insurance premium growth rate for all type of risks (fire, flood, hurricane).</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate Cooling Demand Impact</td><td>Individual</td><td>Projected annual change in cooling needs based on estimated cooling degree day changes through the next 25 years.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate Heating Demand Impact</td><td>Individual</td><td>Projected annual change in heating requirements based on estimated heating degree day changes through the next 25 years.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate Utility Demand Impact</td><td>Individual</td><td>Projected annual net change in overall utility consumption, combining cooling and heating demand shifts through the next 25 years.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Fire Retrofit Expenditure Forecast</td><td>Individual</td><td>Recommended percentage of income to be set aside for retrofit expenditure based on the likelihood of future fire related hazards.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Flood Retrofit Expenditure Forecast</td><td>Individual</td><td>Recommended percentage of income to be set aside for retrofit expenditure based on the likelihood of future flood and hurricane related hazards.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Thermal Retrofit Expenditure Forecast</td><td>Individual</td><td>Recommended percentage of income to be set aside for retrofit expenditure based on the increase of cooling demand in the future.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate-Related Retrofit Expenditure Forecast</td><td>Individual</td><td>Sum of all capex calculations (CAPEX_FIRE, CAPEX_FLOOD, CAPEX_CDD).</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr><tr><td>Climate Financial Impact</td><td>Climate Discount Rate</td><td>Individual</td><td>Recommended climate discount rate to be added to the prevailing discount rate. Applicable to assets with a holding period up till 2035.</td><td>Proprietary Analytics</td><td>Global</td><td>N/A</td></tr></tbody></table>

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## Climate Real Estate Impact

<table><thead><tr><th width="184.75">Theme</th><th width="181.921875">Dataset</th><th width="166.3125">Bundled or Individual?</th><th width="606.36328125">Description</th><th width="231.45703125">Type of Dataset</th><th width="92">Geographic Coverage</th><th width="92">Date Range</th></tr></thead><tbody><tr><td>Climate Real Estate Impact</td><td>El Niño Southern Oscillation (ENSO) impact</td><td>Individual</td><td>ENSO-driven impact on HPI performance (2015-2023). Seven-tier categorical scoring with Low Minus indicating locations least sensitive to ENSO impact, and High Plus indicating locations with the highest sensitivity.</td><td>Proprietary Analytics</td><td>USA</td><td>2015-2023</td></tr><tr><td>Climate Real Estate Impact</td><td>P(CD): Probability of climate default</td><td>Individual</td><td>Likelihood of increase in mortgage delinquency due to physical climate risks compounding existing economic fragility between the present and 2050.</td><td>Proprietary Analytics</td><td>USA</td><td>2025-2050</td></tr></tbody></table>

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## Demographic Trends

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Demographic Trends</td><td>Population Growth Rate</td><td>Individual</td><td>Annual rate of population growth in the local market, with higher rates indicating rising demand.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Demographic Trends</td><td>U.S. Population Growth Forecast (2050)</td><td>Individual</td><td>Long term population change by 2050 factoring historic population trends including demographics, migration and climate risk variables. </td><td>Proprietary Analytics</td><td>USA</td><td>2050 Forecast</td></tr><tr><td>Demographic Trends</td><td>Total National Population</td><td>Individual</td><td>Estimate of total resident population, providing harmonized and current demographic figures suitable for international comparison.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Demographic Trends</td><td>Population Density </td><td>Individual</td><td>Population density calculated using official population and land area data to ensure comparability across countries.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2020-2020</td></tr><tr><td>Demographic Trends</td><td>Population Growth</td><td>Individual</td><td>Annual percentage change in national population incorporating natural population gain/loss and net migration.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Demographic Trends</td><td>Dependent Population</td><td>Individual</td><td>Proportion of each country’s population aged 65 and older, reflecting aging demographics and dependency ratio.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Demographic Trends</td><td>Population Density Per Acre</td><td>Individual</td><td>Number of people per acre, signaling demand for services and infrastructure.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Demographic Trends</td><td>Under-5 Population Growth Rate</td><td>Individual</td><td>Ratio of under-5 population change to overall population change from 2005-2024. A higher ratio indicates a growing youth demographic driven by fertility and in-migration.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2005-2024</td></tr></tbody></table>

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## Economic Complexity & Innovation

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Economic Complexity &#x26; Innovation</td><td>Patents Per Capita</td><td>Individual</td><td>Patents per capita (2020), used to measure innovation output and technological potential.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2022</td></tr><tr><td>Economic Complexity &#x26; Innovation</td><td>Economic Complexity Index (ECI)</td><td>Individual</td><td>Country-level performance on the Economic Complexity Index, which measures the relative knowledge intensity of an economy, based on trade data. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1998-2023</td></tr><tr><td>Economic Complexity &#x26; Innovation</td><td>AI Preparedness Index</td><td>Individual</td><td>Country-level performance on the AI Preparedness Index (AIPI), which assesses a country’s digital infrastructure, human capital and labor market policies, innovation and economic integration, and regulation and ethics.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2023-2023</td></tr><tr><td>Economic Complexity &#x26; Innovation</td><td>Global Innovation Index</td><td>Individual</td><td>Country-level performance on the Global Innovation Index, which quantifies over 80 indicators including policy environment, education, infrastructure, and knowledge creation. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2024-2024</td></tr><tr><td>Economic Complexity &#x26; Innovation</td><td>ICT Development Index</td><td>Individual</td><td>Country-level performance on the ICT Development Index, which assesses the level of information and communication technology (ICT) development across countries. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2025-2025</td></tr><tr><td>Economic Complexity &#x26; Innovation</td><td>Number of Data Centers</td><td>Individual</td><td>Total number of data centers in a 50km radius; includes data center that have been permitted and under construction.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2025-2025</td></tr></tbody></table>

## Environmental Sustainability

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Environmental Sustainability</td><td>Per Capita Emissions</td><td>Individual</td><td>CO₂ emissions per capita.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1750-2023</td></tr><tr><td>Environmental Sustainability</td><td>Environmental Performance Index</td><td>Individual</td><td>Country-level performance on the Environmental Performance Index, based on 58 performance indicators on climate change performance, environmental healthy, and ecosystem vitality.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2024-2024</td></tr><tr><td>Environmental Sustainability</td><td>Air Pollution</td><td>Individual</td><td>Annual average PM2.5 concentration.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2022-2022</td></tr><tr><td>Environmental Sustainability</td><td>Food Security Index</td><td>Individual</td><td>Country-level performance on the Food Security Index which measures food affordability, availability, quality, safety, sustainability and adaptation across 68 indicators.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2022-2022</td></tr><tr><td>Environmental Sustainability</td><td>Unhealthy Air Quality</td><td>Individual</td><td>Days per year with Air Quality Index (AQI) above 100. Population groups with sensitivities such as heart or lung conditions may experience health effects and the general public should limit outdoor activity.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr></tbody></table>

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## Energy Reliability & Security

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Energy Reliability &#x26; Security</td><td>Renewable Energy Generation</td><td>Individual</td><td>Total primary energy generated from renewable sources including solar, wind and hydropower.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1965-2024</td></tr><tr><td>Energy Reliability &#x26; Security</td><td>Renewables Share of Generation</td><td>Individual</td><td>Share of electricity generated by renewables including solar, wind, hydropower, bioenergy, geothermal, wave and tidal sources.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1985-2023</td></tr><tr><td>Energy Reliability &#x26; Security</td><td>Electricity Access (% of Population)</td><td>Individual</td><td>Share of population with access to electricity.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2023</td></tr><tr><td>Energy Reliability &#x26; Security</td><td>Total Power Capacity</td><td>Individual</td><td>Total power plant capacity in a 50km radius. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2013-2017</td></tr><tr><td>Energy Reliability &#x26; Security</td><td>Energy Trilemma Index</td><td>Individual</td><td>Country-level performance on the Energy Trilema Index, which quantifies performance across three dimensions: energy security, energy equity and environmental sustainability. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2023-2023</td></tr><tr><td>Energy Reliability &#x26; Security</td><td>Electricity Rate</td><td>Individual</td><td>Average electricity price at the state level. Lower rates indicate lower operating costs.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Energy Reliability &#x26; Security</td><td>Energy Generation</td><td>Individual</td><td>Total state-level energy generation capacity, associated with grid stability and affordability.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Energy Reliability &#x26; Security</td><td>Energy Grid Interruptions</td><td>Individual</td><td>Average service outage duration based on CAIDI. Lower values indicate higher grid reliability.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr></tbody></table>

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## Fiscal Health

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Fiscal Health</td><td>Current Account Balance (% of GDP)</td><td>Individual</td><td>Balance of current transactions (counting goods and services, earned income and transfer income) between residents and non-residents. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Fiscal Health</td><td>General Gross Government Debt (% of GDP)</td><td>Individual</td><td>Ratio of gross public debt to GDP.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1980-2025</td></tr><tr><td>Fiscal Health</td><td>Government Expenditure (% of GDP)</td><td>Individual</td><td>General government spending as a percentage of GDP.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1800-2023</td></tr></tbody></table>

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## Geopolitics & Diplomacy

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Geopolitics &#x26; Diplomacy</td><td>Global Soft Power Index</td><td>Individual</td><td>Country-level performance on Global Soft Power Index ranking countries by influence, familiarity and reputation without military or economic coercion.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2022-2025</td></tr><tr><td>Geopolitics &#x26; Diplomacy</td><td>Political Stability and the Absence of Violence / Terrorism</td><td>Individual</td><td>Worldwide Governance Indicator for Political Stability and the Absence of Violence / Terrorism, which measures perceptions of the likelihood that the government will be destabilized or overthrown. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1996-2023</td></tr></tbody></table>

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## Governance & Regulatory Environment

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Governance &#x26; Regulatory Environment</td><td>Government Effectiveness</td><td>Individual</td><td>Worldwide Governance Indicator for Governance Effectiveness, which captures perceptions on the quality of public and civil services. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1996-2023</td></tr><tr><td>Governance &#x26; Regulatory Environment</td><td>Legal and Regulatory Risk</td><td>Individual</td><td>Equally-weighted combination of World Bank Worldwide Governance Indicators for Rule of Law and Regulatory Quality.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1996-2023</td></tr></tbody></table>

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## Infrastructure & Connectivity

<table><thead><tr><th width="134.3359375">Theme</th><th width="119">Dataset</th><th>Bundled or Individual?</th><th width="303">Description</th><th width="109">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Infrastructure &#x26; Connectivity</td><td>Gross Fixed Capital Formation</td><td>Individual</td><td>Gross Fixed Capital Formation as a share of GDP, measuring investment in infrastructure, machinery, and assets.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Highway Endpoint Density</td><td>Individual</td><td>Number of highway endpoints near a tract, indicating regional road network connectivity.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Rail Nodes Density</td><td>Individual</td><td>Density of rail nodes near each tract, reflecting access to rail freight and passenger infrastructure.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Airport Density</td><td>Individual</td><td>Number of seaports in proximity, enhancing logistics and trade access.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Truck Stop Density</td><td>Individual</td><td>Count of nearby truck stops, indicating regional freight movement support.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Micro-Grid Capacity</td><td>Individual</td><td>Total installed capacity of microgrids (kW), contributing to local energy resilience.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>EV Charging Stations</td><td>Individual</td><td>Number of EV charging stations in the ZIP code.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023-2025</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Airport Passenger Volume</td><td>Individual</td><td>Number of air passengers carried by airlines registered in each country, including domestic and international travel.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2000-2024</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Infrastructure Quality</td><td>Individual</td><td>Country-level performance on the Logistics Performance Index, which scores six dimensions of trade including customs performance, infrastructure quality, and timeliness of shipments.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2018-2023</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Fixed Capital Formation Ratio (FCFR)</td><td>Individual</td><td>Gross fixed capital formation as a share of GDP, reflecting national investment in infrastructure and productive assets.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Infrastructure &#x26; Connectivity</td><td>Number of Data Centers</td><td>Individual</td><td>Total number of data centers in a 50km radius; includes data center that are currently under construction.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2023 - 2025</td></tr></tbody></table>

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## Labor Market Dynamics

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Labor Market Dynamics</td><td>Education Attainment </td><td>Individual</td><td>Share of the population with a bachelor’s degree or higher. Higher values correlate with livability and earnings.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Labor Market Dynamics</td><td>Manufacturing employment</td><td>Individual</td><td>Total number of current employees in the manufacturing and warehousing sector.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Labor Market Dynamics</td><td>Workforce Population</td><td>Individual</td><td>Total number of eligible workers across all sectors.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Labor Market Dynamics</td><td>Employment-Population Ratio </td><td>Individual</td><td>Share of employed persons as a percent of the total of working-age population. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1948-2023</td></tr><tr><td>Labor Market Dynamics</td><td>Youth Population</td><td>Individual</td><td>Percentage of population aged 0-14</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Labor Market Dynamics</td><td>Working Age Population</td><td>Individual</td><td>Share of population aged 15-64.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Labor Market Dynamics</td><td>Unemployment Rate</td><td>Individual</td><td>The number of unemployed persons as a share of the total workforce.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1980-2025</td></tr><tr><td>Labor Market Dynamics</td><td>Educational Attainment</td><td>Individual</td><td>Share of population (aged 25 and above) with at least a Bachelor's or equivalent.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1970-2022</td></tr></tbody></table>

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## Liveability & Social Wellbeing

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Livability &#x26; Social Wellbeing</td><td>Amenity And Walkability Index </td><td>Individual</td><td>Walkability index incorporating access to amenities and commute distance. Higher scores reflect livability.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Global Share Of Vulnerable Population</td><td>Individual</td><td>Share of population under 15 or over 65, reflecting dependency ratio and service needs.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Human Development Index</td><td>Individual</td><td>Human Development Index (HDI) score, capturing education, health, and income performance.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Health Index</td><td>Individual</td><td>Access to health infrastructure and healthiness of the local population, measured by aggregating disease prevalence, access to hospitals, and insurance peneration. A higher index score indicates better healthcare quality.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Life Expectancy</td><td>Individual</td><td>Total life expectancy at birth.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2023</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Healthcare Spending (% of GDP)</td><td>Individual</td><td>Annual health expenditure as a percentage of GDP. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2000-2022</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Life Satisfaction</td><td>Individual</td><td>Average national life satisfaction score (0–10) from the World Happiness Report. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2011-2025</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Violent Crime</td><td>Individual</td><td>Nationally reported statistics on violent offences per 100,000 residents.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2015-2023</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>Inequality-adjusted Human Development Index (IHDI)</td><td>Individual</td><td>Measures a country's achievements in health, education and income, while accounting for inequalities in their distribution across the population.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1990-2023</td></tr><tr><td>Livability &#x26; Social Wellbeing</td><td>High-Quality Affordable Retirement</td><td>Individual</td><td>Top 96 destinations across 24 countries for retirement attractiveness, based on costs, amenities, health care, language, crime and climate risk.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2025</td></tr></tbody></table>

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## Macroeconomic Performance

<table><thead><tr><th width="161.64453125">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Macroeconomic Performance</td><td>Gross National Income </td><td>Individual</td><td>Downscaled 2022 Gross National Income within a 500m radius using satellite nightlight imagery.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>N/A</td></tr><tr><td>Macroeconomic Performance</td><td>Job Growth Rate</td><td>Individual</td><td>Annual job growth rate at the census tract level, used to gauge local economic momentum.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Macroeconomic Performance</td><td>Income Growth Rate</td><td>Individual</td><td>Annual income growth rate at the census tract level, reflecting improving living standards.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Macroeconomic Performance</td><td>Rent As Percentage Of Income</td><td>Individual</td><td>Average rental cost as a percentage of per capita income, measuring housing affordability.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Macroeconomic Performance</td><td>Housing To Income Ratio</td><td>Individual</td><td>Ratio of median house price to median income, used to assess housing market affordability and demand.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Macroeconomic Performance</td><td>US Greenfield Investment Tracker (2022 To Present)</td><td>Individual</td><td>Cumulative value of new corporate investment by county since 2022, indicating recent economic growth and locational momentum.</td><td>Proprietary Dataset</td><td>USA</td><td>2022 - 2025</td></tr><tr><td>Macroeconomic Performance</td><td>PPP-Adjusted GDP </td><td>Individual</td><td>Gross domestic product (GDP) expressed in current international dollars, converted by purchasing power parities (PPPs).</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1990-2024</td></tr><tr><td>Macroeconomic Performance</td><td>Nominal GDP Growth Rate</td><td>Individual</td><td>Annual percentage change in nominal GDP. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1961-2024</td></tr><tr><td>Macroeconomic Performance</td><td>GDP Per Capita Growth Rate </td><td>Individual</td><td>Annual percentage change in GDP per capita.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1961-2024</td></tr><tr><td>Macroeconomic Performance</td><td>Sovereign Credit Rating</td><td>Individual</td><td>Aggregated sovereign credit rating calculated from key ratings agencies such as Moody’s, S&#x26;P and Fitch.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2025-2025</td></tr><tr><td>Macroeconomic Performance</td><td>Foreign Direct Investment (FDI)</td><td>Individual</td><td>Net foreign direct investment (FDI) inflows in current terms.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1970-2024</td></tr><tr><td>Macroeconomic Performance</td><td>Currency Volatility </td><td>Individual</td><td>5-year standard deviation of percentage change in annual bilateral exchange rates relative to the USD (nominal).</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2024</td></tr><tr><td>Macroeconomic Performance</td><td>Inflation Volatility</td><td>Individual</td><td>5-year  standard deviation of the annual percentage change in inflation (consumer prices).</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2023</td></tr><tr><td>Macroeconomic Performance</td><td>Inflation Rate Risk</td><td>Individual</td><td>Absolute deviation of the annual change in Consumer Price Index (%) from a 2% target rate.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2023</td></tr><tr><td>Macroeconomic Performance</td><td>Total Inflation Risk (Rate and Volatility)</td><td>Individual</td><td>Equally-weighted combination of inflation volatility (5-year  standard deviation of annual percentage change in inflation) and inflation rate risk (absolute deviation of annual change in inflation from a 2% target rate). </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2023</td></tr><tr><td>Macroeconomic Performance</td><td>Trade (% of GDP)</td><td>Individual</td><td>Total trade as a percentage of GDP, reflecting economic openness and trade dependency.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr></tbody></table>

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## Market & Business Conditions

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Market &#x26; Business Conditions</td><td>Corporate Tax Rate</td><td>Individual</td><td>National corporate tax rate.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1980-2024</td></tr><tr><td>Market &#x26; Business Conditions</td><td>Domestic Credit to Private Sector (% of GDP)</td><td>Individual</td><td>Loans to the private sector by domestic financial institutions.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Market &#x26; Business Conditions</td><td>Internet Speed</td><td>Individual</td><td>Average broadband internet speed, measuring digital infrastructure strength and connectivity.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Market &#x26; Business Conditions</td><td>Annual Change In Business Establishments</td><td>Individual</td><td>Net annual change in business establishments, indicating local economic dynamism.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Market &#x26; Business Conditions</td><td></td><td></td><td></td><td></td><td></td><td></td></tr></tbody></table>

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## Migration & Talent Flows

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Migration &#x26; Talent Flows</td><td>Net Migration </td><td>Individual</td><td>Estimate of each country’s net total international migrants, calculated as the difference between immigrants and emigrants, including citizens and noncitizens.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2024</td></tr><tr><td>Migration &#x26; Talent Flows</td><td>Migration Openness Ranking</td><td>Individual</td><td>Ranking of all countries and territories by number of visa-free destinations for their nationals.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2025-2025</td></tr><tr><td>Migration &#x26; Talent Flows</td><td>HNW Migration</td><td>Individual</td><td>Net millionaire migration into the country. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>2025-2025</td></tr><tr><td>Migration &#x26; Talent Flows</td><td>Digital Nomad Attractiveness</td><td>Individual</td><td>Top 500 cities for digital nomads based on attractiveness to remote workers according to cost, Wi-Fi speed, safety, weather, community and user reviews.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2025-2025</td></tr></tbody></table>

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## Real Estate Market Data&#x20;

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Real Estate Market Data</td><td>Residential Building Permits</td><td>Individual</td><td>Annual count of residential building permits, signaling housing supply pipeline and development pace.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Real Estate Market Data</td><td>Pedestrian And Commuter Traffic</td><td>Individual</td><td>An indexed score from the EPA calculated from the frequency of transits on foot, vehicles, and public transport. </td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Real Estate Market Data</td><td>Units Planned And Under Construction </td><td>Individual</td><td>Residential permit issuance rate, correlated with demand for office and retail property.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Real Estate Market Data</td><td>Land Costs Per Acre</td><td>Individual</td><td>Average land cost per acre at the census tract level. Lower values reflect higher availability or lower demand.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2023</td></tr><tr><td>Real Estate Market Data</td><td>Potential Federal Land Privatization</td><td>Individual</td><td>Percentage of federally owned land potentially slated for privatization and suitable for residential real estate development.</td><td>Proprietary Derived Dataset</td><td>USA</td><td>2025</td></tr><tr><td>Real Estate Market Data</td><td>Residential Property Price Growth</td><td>Individual</td><td>Year-on-year change in real residential property prices. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1960-2025</td></tr></tbody></table>

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## Societal Income & Wealth&#x20;

<table><thead><tr><th width="135">Theme</th><th width="144">Dataset</th><th width="144">Bundled or Individual?</th><th width="319">Description</th><th width="87">Type of Dataset</th><th width="87">Geographic Coverage</th><th width="87">Date Range</th></tr></thead><tbody><tr><td>Societal Income &#x26; Wealth</td><td>Gross National Income (GNI) Per Capita</td><td>Individual</td><td>Gross national income per capita measured in current USD.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2024</td></tr><tr><td>Societal Income &#x26; Wealth</td><td>Median Post-Tax Income</td><td>Individual</td><td>Estimated median household disposable income after taxes and transfers, adjusted for inflation and PPP.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2023</td></tr><tr><td>Societal Income &#x26; Wealth</td><td>Poverty Rate (% of population)</td><td>Individual</td><td>Share of population living below poverty rates, as measured according to national poverty lines. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1985-2024</td></tr><tr><td>Societal Income &#x26; Wealth</td><td>Income Inequality</td><td>Individual</td><td>Income inequality measured by the national Gini coefficient. </td><td>Proprietary Derived Dataset</td><td>Global</td><td>1963-2024</td></tr><tr><td>Societal Income &#x26; Wealth</td><td>Household Debt (% of GDP)</td><td>Individual</td><td>Household debt (loans and securities) as a percentage of GDP.</td><td>Proprietary Derived Dataset</td><td>Global</td><td>2024</td></tr></tbody></table>

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