Health Index

In 2023, Singapore ranked first with a health index score of 86.9, followed by Japan and South Korea. The health index measures the extent to which people are healthy and have access to the necessary services to maintain good health, including health outcomes, health systems, illness and risk factors, and mortality rates. The statistic shows the health and health systems ranking of countries worldwide in 2023, by their health index score.

The Vegetation Health Index (VHI) illustrates the severity of drought based on the vegetation health and the influence of temperature on plant conditions. The VHI is a composite index and the elementary indicator used to compute the seasonal drought indicators in ASIS: Agricultural Stress Index (ASI), Drought Intensity and Weighted Mean Vegetation Health Index (Mean VHI).If the index is below 40, different levels of vegetation stress, losses of crop and pasture production might be expected; if the index is above 60 (favorable condition) plentiful production might be expected. VHI is very useful for an advanced prediction of crop losses.

Phenomenon Mapped: Vegetation Health Index

Units: None

Time Interval: 10-day

Time Extent: 1984-Present

Cell Size: 1 km

Pixel Type: 32-bit Signed Integer

Data Projection: WGS 1984

Mosaic Projection: WGS 1984 Web Mercator

Source: Food and Agriculture Organization of the United Nations

Update Cycle: 10-days + 5 days lagVHI combines both the Vegetation Condition Index (VCI) and the Temperature Condition Index (TCI). The TCI is calculated using a similar equation to the VCI, but relates the current temperature to the long-term maximum and minimum, as it is assumed that higher temperatures tend to cause a deterioration in vegetation conditions. A decrease in the VHI would, for example, indicate relatively poor vegetation conditions and warmer temperatures, signifying stressed vegetation conditions, and over a longer period would be indicative of drought.In ASIS, VHI is computed in two temporal granularities: dekadal and monthly. The dekadal/monthly VHI raster layer published is further updated in the following 5 dekads (improve data precision, remove cloud pixel etc.).Flags of raster file: 251=missing, 252=cloud, 253=snow, 254=sea, 255=backgroundExplore this and related data in this web applicationMore information please visit FAO GIEWS Earth Observation website.

Health Index scores at national, regional, and upper- and lower-tier local authority level for England, including indicator details to construct the Index.

The Weighted Mean Vegetation Health Index (Mean VHI) allows the user to assess the severity of the drought from the start of the growing season, examining the vegetation health and the influence of temperature on plant conditions.Phenomenon Mapped: Weighted Mean Vegetation Health IndexUnits: nonTime Interval: 10-dayTime Extent: 1984-PresentCell Size: 1 kmPixel Type: 32-bit Signed IntegerData Projection: WGS 1984Mosaic Projection: WGS 1984 Web MercatorSource: Food and Agriculture Organization of the United NationsUpdate Cycle: 10-days + 5 days lagIt is an average of the dekadal VHI values over the crop growing season (from the start until the last dekad of analysis), weighted by crop coefficients (Kc), assigned to VHI values at the dekads corresponding to the Start of the Season (SOS), Maximum of the Season (MOS) and End of the Season (EOS). Crop coefficient is applied for the purpose of reflecting the crop’s water sensitivity at different phenology stages.Two quick-look indicators in ASIS: Agricultural Stress Index (ASI) and Drought Intensity are both based Weighted Mean-VHI dataset.Explore this and related data in this web application.More information please visit FAO GIEWS Earth Observation website

In the health index 2023, Singapore ranked first with a score of 86.9, followed by Japan and South Korea. Afghanistan had a health index score of 50.9 that year. The health index measures the extent to which people are healthy and have access to the necessary services to maintain good health, including health outcomes, health systems, illness and risk factors, and mortality rates.

This dataset contains the State and Year-wise Fiscal Health Index (FHI) ranking. This index is formulated by NITI Aayog for Major States in India to get insights into the fiscal condition of states.

The Composite Fiscal Health Index (FHI) is computed as the average of five major sub-indicators: Quality of Expenditure (developmental expenditure as a share of total expenditure, and capital outlay as a share of GSDP), Revenue Mobilisation (state’s own revenue as a share of GSDP and of total expenditure), Fiscal Prudence (gross fiscal deficit and revenue deficit as shares of GSDP), Debt Index (interest payments as a share of revenue receipts, and outstanding liabilities as a share of GSDP), and Debt Sustainability (difference between GSDP growth rate and growth rate of interest payments). Each major sub-indicator is based on the average of its normalised minor sub-indices, and the final FHI score is the average of the five major sub-indicator scores for each state.

The Annual Weighted Mean Vegetation Health Index (Weighted Mean VHI) allows the user to assess the overall severity of drought for an entire growing season, examining the vegetation health and the influence of temperature on plant conditions. The Annual Weighted Mean VHI takes into account the sensitivity of a crop to water stress over its growing season, and calculates the temporal impact of moisture deficits and temperature over the complete growing season.Phenomenon Mapped: Weighted Mean Vegetation Health IndexUnits: nonTime Interval: 1-yearTime Extent: 1984-PresentCell Size: 1 kmPixel Type: 32-bit Signed IntegerData Projection: WGS 1984Mosaic Projection: WGS 1984 Web MercatorSource: Food and Agriculture Organization of the United NationsUpdate Cycle: Annual, 5th of July for the previous crop yearMean VHI Annual Summary is processed at the end of crop season. It allows the user to assess the overall severity of drought for an entire growing season. Two quick-look indicators in ASIS: Agricultural Stress Index (ASI) and Drought Intensity are both based on Weighted Mean-VHI dataset.Explore this and related data in this web application.More information please visit FAO GIEWS Earth Observation website

From January 2018 to January 2025, the health index in Belgium ranged from 106 to 135.5. The value of the health index in January 2025 was 135.52. Such an index is calculated by removing certain products, such as alcoholic beverages, tobacco, and fuel, out of the list to calculate the consumer price index.

This statistic shows the percentage change on previous year of the health index in Belgium in 2016 and 2017, with a forecast for 2018 and 2019. In 2017, the health index increased by nearly two percent.

The Air Quality Health Index (AQHI) is a scale designed to help quantify the quality of the air in a certain region on a scale from 1 to 10. When the amount of air pollution is very high, the number is reported as 10+. It also includes a category that describes the health risk associated with the index reading (e.g. Low, Moderate, High, or Very High Health Risk). The AQHI is calculated based on the relative risks of a combination of common air pollutants that are known to harm human health, including ground-level ozone, particulate matter, and nitrogen dioxide. The AQHI formulation captures only the short term or acute health risk (exposure of hour or days at a maximum). The formulation of the AQHI may change over time to reflect new understanding associated with air pollution health effects. The AQHI is calculated from data observed in real time, without being verified (quality control).

Ocean Health Index for India - overall score, world ranking, in addition to expert analysis and comparison with global peers.

Every fifth Pole takes very good care of their health (these people achieved 76-100 percent). However, 12 percent of the respondents did not reach half of the Health Index value. The largest group is Poles, who took care of their health at an average level (Health Index 51-75 percent) in 2024.

South Korea Smalll Business Health Index (SBHI): Economic Outlook (EO) data was reported at 72.200 Index in Apr 2025. This records an increase from the previous number of 70.800 Index for Mar 2025. South Korea Smalll Business Health Index (SBHI): Economic Outlook (EO) data is updated monthly, averaging 78.100 Index from Jan 2015 (Median) to Apr 2025, with 124 observations. The data reached an all-time high of 89.600 Index in Sep 2017 and a record low of 55.600 Index in Apr 2020. South Korea Smalll Business Health Index (SBHI): Economic Outlook (EO) data remains active status in CEIC and is reported by Korea Federation of SMEs. The data is categorized under Global Database’s South Korea – Table KR.S: Small Business Health Index. The SBHI (Small Business Health Index) is an index calculated by subdividing the responses into a 5-point scale and multiplying each frequency by a weight. If it is over 100, it indicates that there are more companies that expect the next month's economy to improve than those that do not. Less than 100 means the opposite. Series break at January 2015 to December 2022, as the Monthly Small & Medium Business Economic Outlook Survey and the Non-Manufacturing Small & Medium Business Economic Trend Survey were merged. Series break at January 2023, due to the sampling frame change. The Corporate Statistics Register is now being used instead of the National Business Survey.

Asset health index evalualtion results from an European utility company

In 2024, across all states in the United States, Minnesota was ranked first with a health index score of 67.38, followed by Rhode Island and South Dakota. The health index score was calculated by measuring 42 healthcare metrics relevant to health costs, access, and outcome.

In 2023, Norway ranked first with a health index score of 83, followed by Iceland and Sweden. The health index score is calculated by evaluating various indicators that assess the health of the population, and access to the services required to sustain good health, including health outcomes, health systems, sickness and risk factors, and mortality rates. The statistic shows the health and health systems ranking of European countries in 2023, by their health index score.

The Vegetation Health Index (VHI) is based on a combination of products extracted from vegetation signals, namely the Normalized Difference Vegetation Index (NDVI) and the land surface temperature, both derived from MODIS satellite data. The NDVI is based on 8 day maximum value composite MOD09Q1 (v006) reflectance and the land surface temperature (LST) on 8 day MOD11A2 (v006) LST products. The spatial resolution is 231 m, therefore the original 1000 m resolution of the MOD11A2 LST is downscaled to 231 m of the MOD09Q1 reflectance. Both products are masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetated areas are masked using the most recent Corine Land Cover product version for the according year. The final product is regridded to the LAEA Projection (EPSG:3035). The VHI relies on a strong inverse correlation between NDVI and land surface temperature, since increasing land temperatures are assumed to act negatively on vegetation vigour and consequently to cause stress. The data is provided as 8 day measures. The time series is starting from 2001. The VHI values range from 0-100, whereas high values correspond to healthy vegetation and low values indicate stressed vegetation.

As of November 2022, individuals working in the *************************************had an optimal level of mental health index, with a score of **** in India. On the contrary, workers in agriculture, forestry, fishing, and hunting had a higher level of mental health strain, with a score of ****.