Study Commissioned by Ministry of Minority Affairs Government of India
BACKGROUND Issues relating to disparities across socio-religious communities have attracted much attention of the government of India of late. There is a growing realization about the relative backwardness of the religious minorities, more particularly the Muslims, in India. The Sachar Committee, instituted specifically to look into the relative deprivations of Muslims vis-à-vis other socio-religious categories in various dimensions of development, in its report on “Social Economic and Educational Status of the Muslim Community of India”, exhibited deficits and deprivations of Muslims in all dimensions of development. In order that the benefits of schemes and programmes of government reach the relatively disadvantaged segments of society, districts having a substantial minority population were identified as Minority Concentrated Districts (MCDs). Along with the Based on 2001 Census, using two backwardness parameters at the district level, - (1) specific socio- economic indicators in terms of literacy rate; female literacy rate; work participation rate; and female work participation rate and (2) basic amenities indicators in terms of percentage of households with pucca walls, safe drinking water, electricity and w/c latrines, the Ministry of Minority Affairs identified 90 Minority Concentration Districts throughout the country which are falling behind the national average in these parameters. Of these 90 districts, 53 districts have both socio-economic and basic amenities below national average, 21 districts have socio-economic parameters below national average and 16 have basic amenities below national average. The basic idea is to formulate a multi-sectoral programme for the 90 MCDs which envisage for providing beneficiary oriented schemes to minorities and infrastructure development for the entire community in the districts. Against this backdrop the baseline survey in MCDs was conceived to (a) identify how existing programmes are currently targeting these districts and on the basis of the assessment to develop special programmes to provide these facilities and ensure accessibility to them in the most backward areas in a faster way; and (b) create socio-economic profiles of the targeted districts, and receive inputs that would help improve literacy rate, especially female literacy rate, and overall work participation rate, especially female work participation rate that have a significant impact on economic development. The survey would more specifically try to identify the gaps in (1) availability of infrastructure like schools, health centers, ICDE centers and drinking water supply (2) housing and sanitation (3) critical linkages like rural road, ITIs, banking facilities, markets etc. and also (4) identification of artisanal income generating activities in which villagers have comparative advantage.
METHODOLOGY The present survey has been confined to rural areas. Considering the availability of data Tehsil level information has been used for stratification purpose. Villages are taken as the first stage units (FSU) for the survey. However, before selection of sample villages, each district under the coverage was stratified first. All tehsils in a district were grouped into three strata in terms of minority population after arranging them in descending order of minority population. The grouping/stratification has been done in such a way so that the first stratum constitutes top 20% of tehsils, the second stratum constitutes middle 50% and the third/last stratum constitutes bottom 30% of tehsils in the arranged frame. The ranges vary in accordance with degree of concentration of minority population in respective districts. Depending upon the size of the district, 25 or 30 villages were selected from each district. 25 villages were chosen if the rural population of the district is below 5 lacs; otherwise 30 villages were chosen. The number of villages surveyed in each stratum was directly proportional to the share of each stratum/group of tehsils (according to population) to the district population, subject to a minimum allocation of 6 villages to each stratum. Required number of sample villages from each stratum have been selected as per the probability proportion to size (PPS) with replacement, size being total population of the village as per Census 2001. In case of household selection, complete listing of all households (by door to door visit) has been done in case of sample villages with less than 1200 population. However, in case of those villages with population 1200 or more, three or more hamlet-groups (hg’s) were formed in the village as per the practice followed by NSSO¹. From among them, a sample of 2 hg’s was selected for listing of households. The hg having maximum concentration of minority population was selected with probability 1. From among the remaining hg’s, one more hg were selected at random. The listing and sampling of households were independent for each selected hg. In each selected hg, the listed households were grouped into strata as per the minority status of the household. In other words, all Muslim households formed one second-stage stratum (SSS), all Christian households another SSS, and so on. About 30 households were selected in all from each sample village for detailed enquiry. These 30 households were allocated over 2 selected hg’s (if hg’s formed) and among the respective SSS in proportion to total number of households listed in the respective frames. A minimum of 2 households were allocated to an ultimate SSS. The required number of sample households from each SSS were selected by systematic random sampling without replacement (SRSWOR). In case of village having less than 30 households all the households were surveyed. The rule followed by NSSO for forming hamlet-groups is Approximate present population no. of hamlet- of the village group to be formed 1200 to 1799 3 1800 to 2399 4 2400 to 2999 5 3000 to 3599 6 ……………. and so on Following the above methodology, total 25 villages of the district Churachandpur were identified, and 30 households from each village was selected for the sample survey. The present report is based on the data gathered from the total 900 sample households of the district. TOOLS USED Relevant data were collected with the help of (1) Rural Household Schedule and (2) Village Schedule. The rural household schedule tries to capture different dimensions of socio-economic and situational variables like employment, migration and occupation details, land and other assets, ownership of productive and other assets, livestock details, housing status, rural indebtedness, family income and expenditure, current educational status and skill training, aspiration of parents of current students, awareness and participation, local conflicts and loss of life and property, access to media and communication and general aspirations of the people. The village schedule tries to garner authentic data regarding the village. Information such as basic population data, facilities, village organizations, land use and land transfers, credit facilities, commuting and migration data, job and wage related information, information on individual beneficiary oriented programmes, data on education including physical facilities, health, different development programmes, common property resources, and the public distribution system prevailing in the rural areas. ■
Coutesy: Serto R Kom
Continue reading Part-II: Baseline Survey of Minority Concentrated Districts- Churachandpur District
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