Baselight

Predict Mortality/Death Rate.

770k records & 121 variables of unit level survey data collected from 9 States.

@kaggle.rajanand_mortality

About this Dataset

Predict Mortality/Death Rate.

Context:

**Annual Health Survey : Mortality Schedule **

This unit level dataset contains the details relating to death occurred to usual residents of sample household during the reference period and it includes information on sex of deceased, date of death, age at death, registration of death and source of medical attention received before death. For infant deaths, data related to symptoms preceding death is also provided. Mortality Schedule also includes information on various determinants of maternal mortality viz. case of deaths associated with pregnancy, information on factors leading/ contributing to death, symptoms preceding death, time between onset of complications and death, etc.

There are total of 770k observations and 121 variables in this dataset.

Survey:

Base line survey - 2010-11 (4.14 million households in the sample)
1st update - 2011-12 (4.28 million households in the sample)
2nd update - 2012-13 (4.32 million households in the sample)

The survey was conducted in the below 9 states.

A. Empowered Action Group (EAG) States

  1. Uttarakhand (05)
  2. Rajasthan (08)
  3. Uttar Pradesh (09)
  4. Bihar (10)
  5. Jharkhand (20)
  6. Odisha (21)
  7. Chhattisgarh (22)
  8. Madhya Pradesh (23)

B. Assam. (18)

These nine states, which account for about 48 percent of the total population, 59 percent of Births, 70 percent of Infant Deaths, 75 percent of Under 5 Deaths and 62 percent of Maternal Deaths in the country, are the high focus States in view of their relatively higher fertility and mortality.

Content:

The files contains the below columns.

Variable Names:

  1. id
  2. m_id
  3. client_m_id
  4. hl_id
  5. house_no
  6. house_hold_no
  7. state
  8. district
  9. rural
  10. stratum_code
  11. psu_id
  12. m_serial_no
  13. deceased_sex
  14. date_of_death
  15. month_of_death
  16. year_of_death
  17. age_of_death_below_one_month
  18. age_of_death_below_eleven_month
  19. age_of_death_above_one_year
  20. treatment_source
  21. place_of_death
  22. is_death_reg
  23. is_death_certificate_received
  24. serial_num_of_infant_mother
  25. order_of_birth
  26. death_symptoms
  27. is_death_associated_with_pregnan
  28. death_period
  29. months_of_pregnancy
  30. factors_contributing_death
  31. factors_contributing_death_2
  32. symptoms_of_death
  33. time_between_onset_of_complicati
  34. nearest_medical_facility
  35. m_expall_status
  36. field38
  37. hh_id
  38. client_hh_id
  39. currently_dead_or_out_migrated
  40. hh_serial_no
  41. sex
  42. usual_residance
  43. relation_to_head
  44. member_identity
  45. father_serial_no
  46. mother_serial_no
  47. date_of_birth
  48. month_of_birth
  49. year_of_birth
  50. age
  51. religion
  52. social_group_code
  53. marital_status
  54. date_of_marriage
  55. month_of_marriage
  56. year_of_marriage
  57. currently_attending_school
  58. reason_for_not_attending_school
  59. highest_qualification
  60. occupation_status
  61. disability_status
  62. injury_treatment_type
  63. illness_type
  64. symptoms_pertaining_illness
  65. sought_medical_care
  66. diagnosed_for
  67. diagnosis_source
  68. regular_treatment
  69. regular_treatment_source
  70. chew
  71. smoke
  72. alcohol
  73. status
  74. hh_expall_status
  75. client_hl_id
  76. serial_no
  77. building_no
  78. house_status
  79. house_structure
  80. owner_status
  81. drinking_water_source
  82. is_water_filter
  83. water_filteration
  84. toilet_used
  85. is_toilet_shared
  86. household_have_electricity
  87. lighting_source
  88. cooking_fuel
  89. no_of_dwelling_rooms
  90. kitchen_availability
  91. is_radio
  92. is_television
  93. is_computer
  94. is_telephone
  95. is_washing_machine
  96. is_refrigerator
  97. is_sewing_machine
  98. is_bicycle
  99. is_scooter
  100. is_car
  101. is_tractor
  102. is_water_pump
  103. cart
  104. land_possessed
  105. hl_expall_status
  106. fid
  107. isdeadmigrated
  108. residancial_status
  109. iscoveredbyhealthscheme
  110. healthscheme_1
  111. healthscheme_2
  112. housestatus
  113. householdstatus
  114. isheadchanged
  115. fidh
  116. fidx
  117. as
  118. wt
  119. x
  120. schedule_id
  121. year

File content:
Mortality_data_dictionary.xlsx : This data dictionary excel work book has the detailed information about each and every column and codes used in the data.

Acknowledgements

Department of Health and Family Welfare, Govt. of India has published this dataset in Open Govt Data Platform India portal under Govt. Open Data License - India.


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