Table 3 The RSR value in needs, utilization and resource allocation of maternal services across China in 2009 and 2019
From: Assessment of maternal services in China based on WHO’s comprehensive evaluation model
Region | Needs | Utilization | Resource allocation | |||
|---|---|---|---|---|---|---|
2009 | 2019 | 2009 | 2019 | 2009 | 2019 | |
RSR(rank) | RSR(rank) | RSR(rank) | RSR(rank) | RSR(rank) | RSR(rank) | |
Beijing | 0.147(29) | 0.032(31) | 0.814(1) | 0.866(19) | 0.557(1) | 0.382(16) |
Tianjin | 0.175(28) | 0.519(2) | 0.736(12) | 0.973(2) | 0.348(14) | 0.069(31) |
Hebei | 0.290(13) | 0.205(25) | 0.705(15) | 0.856(22) | 0.360(13) | 0.377(18) |
Shanxi | 0.240(21) | 0.272(15) | 0.578(26) | 0.793(27) | 0.496(5) | 0.331(23) |
Inner Mongolia | 0.253(16) | 0.209(24) | 0.743(11) | 0.930(7) | 0.503(4) | 0.492(7) |
Liaoning | 0.214(25) | 0.321(7) | 0.796(4) | 0.904(14) | 0.227(26) | 0.156(29) |
Jilin | 0.245(19) | 0.303(10) | 0.591(25) | 0.937(6) | 0.441(10) | 0.231(25) |
Heilongjiang | 0.305(10) | 0.342(5) | 0.691(17) | 0.913(12) | 0.312(19) | 0.199(28) |
Shanghai | 0.355(8) | 0.033(30) | 0.616(23) | 0.962(4) | 0.252(24) | 0.091(30) |
Jiangsu | 0.229(22) | 0.248(20) | 0.785(6) | 0.846(24) | 0.099(31) | 0.222(26) |
Zhejiang | 0.146(30) | 0.276(14) | 0.804(2) | 0.984(1) | 0.490(6) | 0.493(6) |
Anhui | 0.304(11) | 0.250(19) | 0.290(30) | 0.857(21) | 0.117(30) | 0.211(27) |
Fujian | 0.144(31) | 0.268(16) | 0.727(13) | 0.899(16) | 0.253(23) | 0.337(22) |
Jiangxi | 0.254(15) | 0.255(17) | 0.658(19) | 0.915(10) | 0.327(16) | 0.370(19) |
Shandong | 0.229(23) | 0.240(22) | 0.803(3) | 0.890(17) | 0.301(21) | 0.412(14) |
Henan | 0.245(18) | 0.276(13) | 0.780(8) | 0.746(29) | 0.304(20) | 0.380(17) |
Hubei | 0.262(14) | 0.252(18) | 0.751(10) | 0.916(9) | 0.323(17) | 0.424(13) |
Hunan | 0.208(26) | 0.201(26) | 0.705(16) | 0.939(5) | 0.313(18) | 0.492(8) |
Guangdong | 0.253(17) | 0.170(28) | 0.722(14) | 0.907(13) | 0.447(8) | 0.444(12) |
Guangxi | 0.218(24) | 0.218(23) | 0.755(9) | 0.970(3) | 0.442(9) | 0.526(5) |
Hainan | 0.320(9) | 0.129(29) | 0.506(29) | 0.852(23) | 0.396(12) | 0.387(15) |
Chongqing | 0.425(4) | 0.183(27) | 0.591(24) | 0.903(15) | 0.160(28) | 0.261(24) |
Sichuan | 0.358(7) | 0.310(9) | 0.630(21) | 0.913(11) | 0.199(27) | 0.349(21) |
Guizhou | 0.384(5) | 0.290(11) | 0.578(27) | 0.865(20) | 0.154(29) | 0.569(1) |
Yunnan | 0.375(6) | 0.325(6) | 0.683(18) | 0.753(28) | 0.241(25) | 0.466(9) |
Xizang | 0.863(1) | 0.785(1) | 0.032(31) | 0.032(31) | 0.474(7) | 0.531(4) |
Shanxi | 0.201(27) | 0.244(21) | 0.782(7) | 0.921(8) | 0.415(11) | 0.462(10) |
Gansu | 0.299(12) | 0.284(12) | 0.656(20) | 0.887(18) | 0.331(15) | 0.451(11) |
Qinghai | 0.640(2) | 0.439(3) | 0.539(28) | 0.808(26) | 0.300(22) | 0.532(3) |
Ningxia | 0.241(20) | 0.386(4) | 0.791(5) | 0.723(30) | 0.538(2) | 0.547(2) |
Xinjiang | 0.473(3) | 0.313(8) | 0.628(22) | 0.821(25) | 0.512(3) | 0.364(20) |