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Table 3 District estimates for access to improved water and summaries of inequity coefficient

From: Geographical heterogeneity and inequality of access to improved drinking water supply and sanitation in Nepal

Districts Model Estimate(JMP adj) Raw coveragea Gini RGI scoreb Theil L Theil T
Bara 1.000 1.000 < 0.001 ↓-0.014 < 0.001 < 0.001
Bardiya 1.000 0.995 0.002 ↓-0.012 < 0.001 < 0.001
Dhading 1.000 0.987 0.027 ↑0.013 0.009 0.008
Dhanusa 1.000 1.000 < 0.001 ↓-0.014 < 0.001 < 0.001
Dolpa 1.000 1.000 0.012 −0.002 0.001 0.001
Gorkha 1.000 1.000 < 0.001 ↓-0.013 < 0.001 < 0.001
Kailali 1.000 1.000 0.008 −0.005 0.001 0.001
Kapilbastu 1.000 1.000 0.008 −0.005 < 0.001 < 0.001
Mahottari 1.000 1.000 < 0.001 ↓-0.013 < 0.001 < 0.001
Manang 1.000 < 0.001 ↓-0.014 < 0.001 < 0.001
Morang 1.000 0.992 0.003 ↓-0.010 < 0.001 < 0.001
Myagdi 1.000 0.902 0.004 ↓-0.009 < 0.001 < 0.001
Parbat 1.000 1.000 0.001 ↓-0.012 < 0.001 < 0.001
Parsa 1.000 1.000 < 0.001 ↓-0.014 < 0.001 < 0.001
Rasuwa 1.000 0.987 < 0.001 ↓-0.014 < 0.001 < 0.001
Rautahat 1.000 1.000 0.003 ↓-0.010 < 0.001 < 0.001
Rupandehi 1.000 0.993 0.002 ↓-0.011 < 0.001 < 0.001
Saptari 1.000 1.000 < 0.001 ↓-0.013 < 0.001 < 0.001
Sarlahi 1.000 1.000 0.016 0.003 0.001 0.001
Siraha 1.000 1.000 0.001 ↓-0.012 < 0.001 < 0.001
Sunsari 1.000 1.000 0.002 ↓-0.011 < 0.001 < 0.001
Chitawan 0.999 0.960 0.013 −0.001 < 0.001 < 0.001
Nawalparasi 0.993 0.936 0.020 0.005 0.001 0.001
Nuwakot 0.991 0.028 ↑0.012 0.004 0.004
Mustang 0.990 0.010 −0.006 < 0.001 < 0.001
Makwanpur 0.989 0.775 0.025 ↑0.009 0.004 0.003
Syangja 0.987 1.000 0.019 0.003 0.001 0.001
Baglung 0.987 0.997 0.020 0.004 0.001 0.001
Rolpa 0.984 0.939 0.012 −0.005 < 0.001 < 0.001
Taplejung 0.979 0.985 0.016 −0.002 0.001 < 0.001
Jhapa 0.978 0.860 0.016 −0.002 < 0.001 < 0.001
Bhaktapur 0.969 0.963 0.015 −0.004 < 0.001 < 0.001
Kanchanpur 0.968 0.996 0.036 ↑0.015 0.002 0.002
Solukhumbu 0.966 0.943 0.021 0.001 0.001 0.001
Udayapur 0.960 0.927 0.035 ↑0.013 0.002 0.002
Kavrepalanchok 0.948 0.953 0.037 ↑0.013 0.005 0.004
Lamjung 0.947 1.000 0.045 ↑0.020 0.005 0.004
Banke 0.946 0.990 0.061 ↑0.037 0.020 0.017
Khotang 0.945 1.000 0.029 0.005 0.002 0.002
Pyuthan 0.940 0.974 0.033 ↑0.007 0.002 0.002
Sindhupalchok 0.930 0.887 0.018 ↓-0.010 0.001 0.001
Rukum 0.915 0.985 0.050 ↑0.019 0.005 0.004
Dolakha 0.915 0.880 0.022 ↓-0.009 0.001 0.001
Baitadi 0.910 1.000 0.061 ↑0.029 0.010 0.009
Darchula 0.909 0.919 0.040 ↑0.008 0.003 0.003
Palpa 0.906 0.974 0.072 ↑0.039 0.014 0.012
Ramechhap 0.866 0.849 0.028 ↓-0.013 0.001 0.001
Kaski 0.862 0.866 0.025 ↓-0.017 0.002 0.002
Sindhuli 0.858 0.645 0.065 ↑0.022 0.008 0.007
Mugu 0.851 0.977 0.021 ↓-0.023 0.001 0.001
Terhathum 0.839 0.869 0.036 ↓-0.011 0.002 0.002
Dang 0.835 0.791 0.050 0.003 0.005 0.004
Humla 0.831 0.683 0.024 ↓-0.024 0.001 0.001
Okhaldhunga 0.830 0.614 0.035 ↓-0.013 0.002 0.002
Lalitpur 0.825 0.767 0.058 ↑0.009 0.005 0.005
Ilam 0.823 0.600 0.038 ↓-0.012 0.002 0.002
Panchthar 0.811 0.700 0.036 ↓-0.016 0.002 0.002
Tanahu 0.805 0.809 0.089 ↑0.035 0.012 0.012
Salyan 0.782 0.563 0.097 ↑0.038 0.017 0.016
Jumla 0.765 0.725 0.044 ↓-0.018 0.003 0.003
Dadeldhura 0.763 0.734 0.076 0.014 0.011 0.010
Dhankuta 0.740 0.716 0.044 ↓-0.023 0.003 0.003
Bajura 0.739 0.904 0.089 ↑0.021 0.013 0.012
Gulmi 0.710 0.123 ↑0.050 0.024 0.023
Kathmandu 0.702 0.702 0.110 ↑0.035 0.022 0.020
Bajhang 0.701 0.711 0.072 −0.003 0.008 0.008
Kalikot 0.669 0.704 0.053 ↓-0.029 0.004 0.004
Surkhet 0.649 0.670 0.068 ↓-0.017 0.007 0.007
Bhojpur 0.622 0.333 0.113 ↑0.022 0.019 0.020
Jajarkot 0.622 0.256 0.088 −0.003 0.012 0.013
Arghakhanchi 0.616 0.380 0.126 ↑0.033 0.024 0.024
Sankhuwasabha 0.613 0.563 0.137 ↑0.044 0.029 0.029
Achham 0.581 0.535 0.079 ↓-0.021 0.012 0.011
Dailekh 0.492 0.349 0.060 ↓-0.058 0.006 0.006
Doti 0.417 0.340 0.103 ↓-0.030 0.019 0.020
  1. a4 districts—Mustang, Guimi, Nuwakot and Manang—have no raw coverage as no samples are located in those areas
  2. bThe RGI score measures relative inequality when given coverage levels. Negative values indicate a lower than expected inequality, while positive values indicate greater than expected inequality. ↓means a score significantly lower than 0, while ↑means significantly higher than 0