Table 1

Descriptive Statistics

VariableNumber
of waves
MeanStandard deviationMinMax
Gini coefficient1140.4630.1370.0810.758
Share of spatial inequality1140.3460.1260.0770.618
Economic structure
 Share of labour in agriculture930.3810.1960.0000.855
 Share of labour in industry930.0500.0600.0000.244
 Share of labour in services930.3240.1770.0510.777
 Share of agriculture in TVA810.2570.1220.0410.546
 Share of services in TVA810.4630.1370.0020.758
 Share of industry in TVA810.2610.1300.0560.726
 Labour productivity growth (within sector)931.2505.005−10.13135.341
 Labour productivity growth (b/n sector)930.1356.101−19.85934.560
 Labour productivity growth (total)931.3856.187−10.27935.714
 Share of agriculture in TVA810.2570.1220.0410.546
Highest education attained by head of household
 Primary7432.25817.8808.15767.012
 Secondary7419.72912.8934.66658.936
 Higher744.3993.7820.34114.369
VariableNumber
of waves
MeanStandard deviationMinMax
Gini coefficient1140.4630.1370.0810.758
Share of spatial inequality1140.3460.1260.0770.618
Economic structure
 Share of labour in agriculture930.3810.1960.0000.855
 Share of labour in industry930.0500.0600.0000.244
 Share of labour in services930.3240.1770.0510.777
 Share of agriculture in TVA810.2570.1220.0410.546
 Share of services in TVA810.4630.1370.0020.758
 Share of industry in TVA810.2610.1300.0560.726
 Labour productivity growth (within sector)931.2505.005−10.13135.341
 Labour productivity growth (b/n sector)930.1356.101−19.85934.560
 Labour productivity growth (total)931.3856.187−10.27935.714
 Share of agriculture in TVA810.2570.1220.0410.546
Highest education attained by head of household
 Primary7432.25817.8808.15767.012
 Secondary7419.72912.8934.66658.936
 Higher744.3993.7820.34114.369

Notes: The table reports descriptive statistics for key variables used in the study. The Gini coefficient and its spatial component are computed from an asset or wealth index using survey and country weights for 37 countries in 114 waves of the DHS for the period 1990–2018. The economic structure used the employment sector of head of households from the DHS. The share of TVA was computed from World Development Indicators for various issues. The educational attainment refers to the head of the household, computed from the DHS data.

Table 1

Descriptive Statistics

VariableNumber
of waves
MeanStandard deviationMinMax
Gini coefficient1140.4630.1370.0810.758
Share of spatial inequality1140.3460.1260.0770.618
Economic structure
 Share of labour in agriculture930.3810.1960.0000.855
 Share of labour in industry930.0500.0600.0000.244
 Share of labour in services930.3240.1770.0510.777
 Share of agriculture in TVA810.2570.1220.0410.546
 Share of services in TVA810.4630.1370.0020.758
 Share of industry in TVA810.2610.1300.0560.726
 Labour productivity growth (within sector)931.2505.005−10.13135.341
 Labour productivity growth (b/n sector)930.1356.101−19.85934.560
 Labour productivity growth (total)931.3856.187−10.27935.714
 Share of agriculture in TVA810.2570.1220.0410.546
Highest education attained by head of household
 Primary7432.25817.8808.15767.012
 Secondary7419.72912.8934.66658.936
 Higher744.3993.7820.34114.369
VariableNumber
of waves
MeanStandard deviationMinMax
Gini coefficient1140.4630.1370.0810.758
Share of spatial inequality1140.3460.1260.0770.618
Economic structure
 Share of labour in agriculture930.3810.1960.0000.855
 Share of labour in industry930.0500.0600.0000.244
 Share of labour in services930.3240.1770.0510.777
 Share of agriculture in TVA810.2570.1220.0410.546
 Share of services in TVA810.4630.1370.0020.758
 Share of industry in TVA810.2610.1300.0560.726
 Labour productivity growth (within sector)931.2505.005−10.13135.341
 Labour productivity growth (b/n sector)930.1356.101−19.85934.560
 Labour productivity growth (total)931.3856.187−10.27935.714
 Share of agriculture in TVA810.2570.1220.0410.546
Highest education attained by head of household
 Primary7432.25817.8808.15767.012
 Secondary7419.72912.8934.66658.936
 Higher744.3993.7820.34114.369

Notes: The table reports descriptive statistics for key variables used in the study. The Gini coefficient and its spatial component are computed from an asset or wealth index using survey and country weights for 37 countries in 114 waves of the DHS for the period 1990–2018. The economic structure used the employment sector of head of households from the DHS. The share of TVA was computed from World Development Indicators for various issues. The educational attainment refers to the head of the household, computed from the DHS data.

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