Graph and download economic data for White to Non-White Racial Dissimilarity (5-year estimate) Index for O'Brien County, IA (RACEDISPARITY019141) from 2009 to 2023 about O'Brien County, IA; racial dissimilarity; non-white; IA; white; 5-year; and USA.

White to Non-White Racial Dissimilarity (5-year estimate) Index for O'Brien County, IA was 47.55% in January of 2023, according to the United States Federal Reserve. Historically, White to Non-White Racial Dissimilarity (5-year estimate) Index for O'Brien County, IA reached a record high of 47.55 in January of 2023 and a record low of 11.38 in January of 2014. Trading Economics provides the current actual value, an historical data chart and related indicators for White to Non-White Racial Dissimilarity (5-year estimate) Index for O'Brien County, IA - last updated from the United States Federal Reserve on June of 2025.

Note: Dissimilarity indices computed for each item represent how well the model under investigation produces expected distributions of response patterns (e.g., from Table 1) that are consistent with observed response patterns for each item. Higher values suggest less consistency between observed and expected values; one recommended cutoff for the index is 0.05 (Dayton, 1998) but this is essentially an arbitrary index value cutoff. Bold items have values below 0.055.*indicates additional convergence problems when DI was computed.†This item was recoded so that all possible points right = 1 and any mistakes = 0.§These items were each assigned one point (i.e., not treated as one point together). Items not represented in this table did not have 0/1 coding (name 3 items), had too much missing data (what floor are we on? What county are we in?) or failed to converge (take this paper, fold it in half) in all 3 groups (and over all responses) so estimates of π* were not computable.

In 2016, the dissimilarity index for education in India was **** for secondary education and **** for tertiary education.

The Dissimilarity Index measures how specific groups – women, poorer households, or ethnic minorities fare in terms of opportunities or barriers. The index ranges from zero to ***, where zero indicated no inequality and *** indicates total inequality.

Table S1 The identity of the county (FID), the county name applied in analysis, official county name, official county name in Chinese, official prefecture name, official prefecture name in Chinese, longitude, latitude, number of specimens, number of species, number of genera, number of families, area of county (km2), area weighed species, mean turnover based on Simpson dissimilarity index, mean nestedness-resultant, mean diversity based on Sørensen dissimilarity index, area weighted diversity indices (Mean SIM/AC, Mean SNR/AC, Mean SOR/AC), tropicality indices such as percentage of species with temperate affinity (Te. Sp.), semi-temperate affinity (Se-Te. Sp.), tropical affinity (Tr. Sp.) and semi-tropical affinity (Se-Tr. Sp.) for each county, twenty-four environmental variables (DEM, Slope, Canopy, WWP, Thermicity, PET, PET Seasonality, Growingday5, Emberger, Continentality, BIO14, Aet Seasonality, Aet, Arid, BIO1, BIO3, BIO4, BIO5, BIO6, BIO12, BIO13, BIO15, Treedensity, Karst Per Area) are listed for 124 counties in Yunnan. Six counties with no records and five counties with less than three species records are excluded from the analysis and results are applied as NA. The detail explanation of all environmental variables is described in the table. The tropicality indices are based on the proportion outside the range of the tropic of Cancer and tropic of Capricorn, for instance they are defined by the result of subtraction from the proportion of availability inside the tropics assigning temperate (-1 ≤ TI ≤ -0.5), semi-temperate (-0.5 < TI ≤ 0), semi-tropical (0 < TI ≤ -0.5) and tropical (0.5 < TI ≤ 1).

Table S2 The occurrence of lineage, order, family, genus and species regarding to the county and prefecture in Yunnan. The identity of the county (FID) is the same as in table S1 that they can be linked.

Table S3 Tropicality index (TI) as defined in Kerkhoff et al. 2014 is calculated based on the differences of weighted distribution range in tropical and temperate region of global occurrences of 1,312 species recorded in Yunnan. TI defines as temperate (-1 ≤ TI ≤ -0.5), semi-temperate (-0.5 < TI ≤ 0), semi-tropical (0 < TI ≤ -0.5) and tropical (0.5 < TI ≤ 1).