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Table 2 District estimates for access to improved sanitation 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
Kathmandu 1.000 0.983 0.004 ↓-0.043 0.000 0.000
Bhaktapur 1.000 0.963 0.006 ↓-0.045 0.001 0.001
Lalitpur 0.989 1.00 0.026 − 0.025 0.003 0.002
Dolpa 0.885 0.973 0.061 −0.010 0.007 0.007
Chitawan 0.885 0.903 0.047 −0.023 0.005 0.005
Kaski 0.884 0.946 0.083 0.012 0.015 0.014
Morang 0.811 0.854 0.114 ↑0.029 0.024 0.022
Syangja 0.769 0.839 0.061 ↓-0.032 0.008 0.008
Jhapa 0.747 0.623 0.088 −0.009 0.030 0.022
Sunsari 0.738 0.818 0.163 ↑0.065 0.068 0.056
Palpa 0.725 0.795 0.081 −0.019 0.016 0.014
Kavrepalanchok 0.721 0.698 0.126 ↑0.024 0.031 0.027
Nawalparasi 0.711 0.779 0.123 0.020 0.035 0.029
Mustang 0.710 0.110 0.007 0.020 0.021
Dolakha 0.709 0.703 0.110 0.006 0.023 0.021
Myagdi 0.687 0.561 0.088 −0.019 0.012 0.013
Surkhet 0.684 0.739 0.064 ↓-0.044 0.006 0.006
Gorkha 0.678 0.726 0.090 ↓-0.019 0.013 0.012
Makwanpur 0.674 0.609 0.129 0.019 0.042 0.034
Baglung 0.674 0.754 0.192 ↑0.081 0.082 0.067
Parbat 0.665 0.846 0.184 ↑0.072 0.073 0.063
Humla 0.637 0.561 0.041 ↓-0.076 0.003 0.003
Mugu 0.636 0.886 0.073 ↓-0.044 0.008 0.008
Khotang 0.629 0.753 0.111 −0.007 0.023 0.021
Taplejung 0.612 0.632 0.094 ↓-0.028 0.017 0.016
Darchula 0.608 0.651 0.050 ↓-0.073 0.005 0.005
Tanahu 0.604 0.671 0.147 ↑0.024 0.034 0.033
Rupandehi 0.603 0.753 0.249 ↑0.126 0.178 0.121
Lamjung 0.590 0.512 0.060 ↓-0.065 0.006 0.006
Pyuthan 0.587 0.746 0.135 0.008 0.050 0.040
Rolpa 0.585 0.351 0.194 ↑0.067 0.082 0.066
Jajarkot 0.565 0.538 0.025 ↓-0.105 0.001 0.001
Baitadi 0.551 0.592 0.070 ↓-0.063 0.013 0.011
Manang 0.530 0.001 ↓-0.136 0.000 0.000
Udayapur 0.522 0.553 0.229 ↑0.091 0.097 0.085
Saptari 0.520 0.457 0.316 ↑0.178 0.211 0.167
Salyan 0.520 0.400 0.111 ↓-0.028 0.027 0.023
Dang 0.518 0.570 0.163 ↓0.024 0.054 0.046
Rukum 0.516 0.470 0.054 ↓-0.085 0.009 0.008
Sindhuli 0.508 0.474 0.290 ↑0.149 0.162 0.137
Dhankuta 0.499 0.770 0.139 −0.004 0.031 0.030
Kanchanpur 0.492 0.576 0.246 ↑0.102 0.126 0.101
Sindhupalchok 0.488 0.450 0.092 ↓-0.052 0.014 0.014
Bara 0.470 0.479 0.220 ↑0.072 0.101 0.083
Dadeldhura 0.464 0.429 0.099 ↓-0.050 0.021 0.019
Kailali 0.463 0.577 0.276 ↑0.126 0.128 0.118
Dhading 0.460 0.354 0.163 0.013 0.043 0.043
Parsa 0.458 0.619 0.247 ↑0.097 0.128 0.107
Ilam 0.453 0.448 0.182 ↑0.031 0.052 0.052
Rautahat 0.452 0.676 0.173 ↑0.022 0.051 0.047
Arghakhanchi 0.448 0.380 0.063 ↓-0.089 0.006 0.006
Ramechhap 0.447 0.209 0.142 −0.010 0.033 0.032
Kapilbastu 0.442 0.426 0.136 ↓-0.017 0.035 0.031
Banke 0.440 0.564 0.284 ↑0.130 0.185 0.141
Dailekh 0.420 0.362 0.218 ↑0.061 0.081 0.074
Jumla 0.420 0.288 0.136 ↓-0.021 0.029 0.029
Gulmi 0.411 0.102 ↓-0.057 0.018 0.019
Bardiya 0.405 0.363 0.127 ↓-0.033 0.030 0.029
Nuwakot 0.388 0.145 −0.019 0.035 0.038
Sankhuwasabha 0.369 0.463 0.140 ↓-0.027 0.030 0.031
Siraha 0.352 0.320 0.041 ↓-0.129 0.004 0.004
Panchthar 0.343 0.250 0.107 ↓-0.065 0.019 0.019
Bhojpur 0.330 0.090 0.246 ↑0.072 0.092 0.096
Bajhang 0.327 0.364 0.121 ↓-0.054 0.022 0.023
Rasuwa 0.325 0.208 0.078 ↓-0.097 0.009 0.009
Doti 0.301 0.313 0.239 ↑0.060 0.093 0.089
Okhaldhunga 0.288 0.227 0.090 ↓-0.092 0.014 0.015
Terhathum 0.280 0.250 0.093 ↓-0.091 0.013 0.013
Bajura 0.274 0.247 0.279 ↑0.094 0.125 0.121
Achham 0.267 0.258 0.276 ↑0.090 0.119 0.118
Solukhumbu 0.243 0.090 0.206 0.015 0.065 0.068
Dhanusa 0.205 0.243 0.201 0.003 0.064 0.063
Kalikot 0.195 0.136 0.165 ↓-0.034 0.045 0.050
Sarlahi 0.186 0.160 0.143 ↓-0.058 0.033 0.036
Mahottari 0.181 0.264 0.204 0.002 0.066 0.073
  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