India Today - - STATES -

The State of the State study of Chhattisgarh has two seg­ments: best per­form­ing district at a par­tic­u­lar time and the most im­proved district over the past decade. The data was col­lected by the In­sti­tute for Hu­man De­vel­op­ment from sources such as the Cen­sus, Na­tional Sam­ple Sur­vey, Cen­tral Sta­tis­tics Of­fice, Na­tional Fam­ily Health Sur­vey (NFHS), District In­for­ma­tion Sys­tem for Ed­u­ca­tion (DISE), Na­tional Crime Records Bureau (NCRB), Land Use Sta­tis­tics In­for­ma­tion Sys­tem for Min­istry of Agriculture and Direc­torate of Eco­nomics and Sta­tis­tics of the Chhattisgarh gov­ern­ment and stan­dard­ised for the sake of com­pa­ra­bil­ity. Ten pa­ram­e­ters were se­lected, each a com­pos­ite in­dex of vari­ables for which uni­form, con­tin­u­ous data was avail­able. All the con­stituent in­di­ca­tors were ar­ranged uni­di­rec­tion­ally, i.e. ei­ther all in­di­ca­tors were pos­i­tive or all were neg­a­tive. The pa­ram­e­ters are: ed­u­ca­tion, health, wa­ter and san­i­ta­tion, in­fras­truc­ture, agriculture, in­dus­try, ser­vices, pros­per­ity, law and or­der and an ag­gre­gate over­all de­vel­op­ment. For ex­am­ple, higher the value of the fe­male lit­er­acy rate higher is the level of ed­u­ca­tional de­vel­op­ment, which makes it a pos­i­tive in­di­ca­tor of de­vel­op­ment, while higher the value of crime rate per 1,000 pop­u­la­tion, the lower is the level of de­vel­op­ment with re­spect to law and or­der, which makes it a neg­a­tive in­di­ca­tor of de­vel­op­ment. The most re­cent year is used to rank the best district. The dif­fer­ence be­tween the most re­cent cat­e­gory value and the val­ues 10 years ear­lier is used to rank the most im­proved district. The lim­i­ta­tion of the sur­vey arises from the fact that in the year 2000, when Chhattisgarh was cre­ated, only 16 dis­tricts ex­isted. An­other two and nine were added in 2007 and 2012 re­spec­tively, tak­ing the to­tal to 27. Hence, com­pa­ra­bil­ity across time be­comes a prob­lem. We have at­tempted to sort out the prob­lem by dis­ag­gre­gat­ing the data at units lower than the district wher­ever data was avail­able.

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