Data Fields

The data file contains observations of all members of the households of 15 years of age or more. One household could have more than one member in the file. Each member of the household is uniquely identified by an identity number and each household is also uniquely identified by an identity number. The first row in the data file contains variable names (column headers). Each row after the first row of the data file consists of observations of one member of one household. Variables in the data file used for the estimations are described below:
  • HH_ID: This is a unique identifier of a household.
  • COUNTRY: This is the country in which the household is located.
  • STATE: This corresponds to the states of India, in which the household is located.
  • HR: This corresponds to Homogeneous Region number.
  • TOWN_VILLAGE: This indicates the village number in case of rural regions and town number in case of urban regions.
  • REGION_TYPE: This indicates whether the household is in rural or urban Homogeneous regions.
  • SURVEY_STATUS: This is the status of survey for a household whether it was "Accepted" by the ORV team.
  • FPC_REGION_HR_INDIA_REGTYPE: This is the number of urban Homogeneous region (surveyed and non-surveyed) in urban India or the number of rural Homogeneous region (surveyed and non-surveyed) in rural India as per Census 2011, depending on whether REGION_TYPE is urban or rural, respectively.
  • FPC_REGION_TV_HR_REGTYPE: This is the number of towns (surveyed and non-surveyed) in the urban Homogeneous region or the number of villages (surveyed and non-surveyed) in the rural Homogeneous region as per Census 2011, depending on whether REGION_TYPE is urban or rural, respectively.
  • FPC_REGION_HH_TV: This is the estimated number of households (surveyed and non-surveyed) in a town or a village (surveyed and non-surveyed) as per Census 2011, depending on whether the REGION_TYPE is urban or rural, respectively.
  • MEM_WEIGHT_GE15_INDIA_REGTYPE_ACC: This is the weight assigned to a member for weekly estimations. For urban regions, it is the ratio of estimated population (> 15 years) in urban India in the week to surveyed population (> 15 years) of urban India in the week, respectively. And for rural regions, it is the ratio of estimated population (> 15 years) in rural India in the week to surveyed population (> 15 years) of rural India in the week, respectively. Estimated population of members (> = 15 years) in urban India in the week is calculated by using the Compounded Annual Growth Rate (CARG) on the Census 2001-Census 2011 data for the population of urban India, compounded on a daily basis. Similarly, estimated population of members (> = 15 years) in rural India in the week is calculated by using the Compounded Annual Growth Rate (CARG) on the Census 2001-Census 2011 data for the population of rural India data, compounded on a daily basis. Sample members (> = 15 years) in urban India in a week are members (> = 15 years) of all the households that were surveyed and accepted in the week. And, sample members (> = 15 years) in rural India in a week are members (> = 15 years) of all the households that were surveyed and accepted in the week.
    • MEM_ID: This is a unique identifier of a member.
    • GENDER: The gender of a person. This is a binary response.
    • AGE_YRS: The age in years of a person. This is a numeric variable.
    • AGE_MTH: The age in months of a person. This is a numeric variable.
    • EMPLOYMENT_STATUS: This is the employment status as stated by the surveyed member. This variable takes one of the following four values:
      1. Employed
      2. Unemployed, willing to work and looking for a job
      3. Unemployed, willing to work but not looking for a job
      4. Unemployed, not willing to work and not looking for a job
Dummy Variables
Two dummy variables are added to the Data file. These are:
  • UNEMPLOYED: Members who have the EMPLOYMENT_STATUS as "Unemployed, willing to work and looking for a job", are assigned numerical value one, else, are assigned numerical value zero.
  • LABOUR_FORCE: Members who have the EMPLOYMENT_STATUS as "Employed" or "Unemployed, willing to work and looking for a job", are assigned numerical one, else, are assigned numerical zero. After adding the dummy variables, the Data file contains 18 variables- 16 raw data variables and 2 derived dummy variables.