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    Home / Central Data Catalog / NPL_2016-2018_HRVS_V02_M / variable [F425]
central

Household Risk and Vulnerability Survey, Full Panel 2016-2018

Nepal, 2016 - 2018
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Reference ID
NPL_2016-2018_HRVS_v02_M
Producer(s)
The World Bank
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Sep 07, 2022
Page views
108191
Downloads
855
  • Study Description
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  • Data files
  • Section_0
    (community
    wave1)
  • Section_1
    (community
    wave1)
  • Section_2
    (community
    wave1)
  • Section_3a
    (community
    wave1)
  • Section_3b
    (community
    wave1)
  • Section_4a
    (community
    wave1)
  • Section_4b
    (community
    wave1)
  • Section_5
    (community
    wave1)
  • Section_0 (hh
    wave1)
  • Section_1 (hh
    wave1)
  • Section_2 (hh
    wave1)
  • Section_3 (hh
    wave1)
  • Section_4 (hh
    wave1)
  • Section_5a (hh
    wave1)
  • Section_5b (hh
    wave1)
  • Section_6a (hh
    wave1)
  • Section_6b (hh
    wave1)
  • Section_6c (hh
    wave1)
  • Section_6d (hh
    wave1)
  • Section_7 (hh
    wave1)
  • Section_8 (hh
    wave1)
  • Section_9a1 (hh
    wave1)
  • Section_9a2 (hh
    wave1)
  • Section_9a3 (hh
    wave1)
  • Section_9a4 (hh
    wave1)
  • Section_9b1 (hh
    wave1)
  • Section_9b2 (hh
    wave1)
  • Section_9c (hh
    wave1)
  • Section_9d (hh
    wave1)
  • Section_9e (hh
    wave1)
  • Section_9f (hh
    wave1)
  • Section_10 (hh
    wave1)
  • Section_11 (hh
    wave1)
  • Section_12a (hh
    wave1)
  • Section_12b (hh
    wave1)
  • Section_12c (hh
    wave1)
  • Section_12d (hh
    wave1)
  • Section_13a (hh
    wave1)
  • Section_13b (hh
    wave1)
  • Section_13c (hh
    wave1)
  • Section_13d (hh
    wave1)
  • Section_14a (hh
    wave1)
  • Section_14b (hh
    wave1)
  • Section_14c (hh
    wave1)
  • Section_15a (hh
    wave1)
  • Section_15b (hh
    wave1)
  • Section_16 (hh
    wave1)
  • Section_17 (hh
    wave1)
  • Section_0
    (community
    wave2)
  • Section_1
    (community
    wave2)
  • Section_2
    (community
    wave2)
  • Section_3a
    (community
    wave2)
  • Section_3b
    (community
    wave2)
  • Section_4a
    (community
    wave2)
  • Section_4b
    (community
    wave2)
  • Section_5
    (community
    wave2)
  • Section_0 (hh
    wave2)
  • Section_1 (hh
    wave2)
  • Section_2 (hh
    wave2)
  • Section_3 (hh
    wave2)
  • Section_4 (hh
    wave2)
  • Section_5a (hh
    wave2)
  • Section_5b (hh
    wave2)
  • Section_6a (hh
    wave2)
  • Section_6b (hh
    wave2)
  • Section_6c (hh
    wave2)
  • Section_6d (hh
    wave2)
  • Section_7 (hh
    wave2)
  • Section_8 (hh
    wave2)
  • Section_9a1 (hh
    wave2)
  • Section_9a2 (hh
    wave2)
  • Section_9a3 (hh
    wave2)
  • Section_9a4 (hh
    wave2)
  • Section_9b1 (hh
    wave2)
  • Section_9b2 (hh
    wave2)
  • Section_9c (hh
    wave2)
  • Section_9d (hh
    wave2)
  • Section_9e (hh
    wave2)
  • Section_9f (hh
    wave2)
  • Section_10 (hh
    wave2)
  • Section_11 (hh
    wave2)
  • Section_12a (hh
    wave2)
  • Section_12b (hh
    wave2)
  • Section_12c (hh
    wave2)
  • Section_12d (hh
    wave2)
  • Section_13a (hh
    wave2)
  • Section_13b (hh
    wave2)
  • Section_13c (hh
    wave2)
  • Section_13d (hh
    wave2)
  • Section_14a (hh
    wave2)
  • Section_14b (hh
    wave2)
  • Section_14c (hh
    wave2)
  • Section_15a (hh
    wave2)
  • Section_15b (hh
    wave2)
  • Section_16 (hh
    wave2)
  • Section_17 (hh
    wave2)
  • Section_0
    (community
    wave3)
  • Section_1
    (community
    wave3)
  • Section_2
    (community
    wave3)
  • Section_3a
    (community
    wave3)
  • Section_3b
    (community
    wave3)
  • Section_4a
    (community
    wave3)
  • Section_4b
    (community
    wave3)
  • Section_5
    (community
    wave3)
  • Section_0 (hh
    wave3)
  • Section_1 (hh
    wave3)
  • Section_2 (hh
    wave3)
  • Section_3 (hh
    wave3)
  • Section_4 (hh
    wave3)
  • Section_5a (hh
    wave3)
  • Section_5b (hh
    wave3)
  • Section_6a (hh
    wave3)
  • Section_6b (hh
    wave3)
  • Section_6c (hh
    wave3)
  • Section_6d (hh
    wave3)
  • Section_7 (hh
    wave3)
  • Section_8 (hh
    wave3)
  • Section_9a1 (hh
    wave3)
  • Section_9a2 (hh
    wave3)
  • Section_9a3 (hh
    wave3)
  • Section_9a4 (hh
    wave3)
  • Section_9b1 (hh
    wave3)
  • Section_9b2 (hh
    wave3)
  • Section_9c (hh
    wave3)
  • Section_9d (hh
    wave3)
  • Section_9e (hh
    wave3)
  • Section_9f (hh
    wave3)
  • Section_10 (hh
    wave3)
  • Section_11 (hh
    wave3)
  • Section_11a (hh
    wave3)
  • Section_12a (hh
    wave3)
  • Section_12b (hh
    wave3)
  • Section_12c (hh
    wave3)
  • Section_12d (hh
    wave3)
  • Section_13a (hh
    wave3)
  • Section_13b (hh
    wave3)
  • Section_13c (hh
    wave3)
  • Section_13d (hh
    wave3)
  • Section_14a (hh
    wave3)
  • Section_14b (hh
    wave3)
  • Section_14c (hh
    wave3)
  • Section_15a (hh
    wave3)
  • Section_15b (hh
    wave3)
  • Section_16 (hh
    wave3)
  • Section_17 (hh
    wave3)

Cause of death (s09q59b)

Data file: Section_9d (hh wave3)

Overview

Valid: 2078
Invalid: 0
Type: Discrete
Width: 66
Range: -
Format: character

Questions and instructions

Literal question
9.59b. What was the cause of death/loss over the past 12 months?
Categories
Value Category Cases
0 4
0.2%
1 1
0%
1 consumed 2
0.1%
1 consumed and 1 died 1
0%
1 consumed and others died due to disease 1
0%
1 consumed by fox, 1 died due to disease 1
0%
1 consumed, 1 died due to disease 1
0%
1 consumed, 2 died 1
0%
1 consumed, 2 died due to disease 1
0%
1 died due to disease, 2 consumed 1
0%
1 died due to disease, 3 consumed 2
0.1%
1 due to tiger attack and 1 diseased 1
0%
10 consumed, 10 taken by fox 1
0%
10 consumed, 16 died due to disease 1
0%
10 died due to disease, 5 consumed 1
0%
10 diseased and 5 consumed 1
0%
10 due to disease and 10 consumed 1
0%
10000 1
0%
12 consumed, 13 died due to disease 1
0%
12died due to disease, 3 consumed 1
0%
15 died due to disease, 10 consumed 1
0%
18000 1
0%
2 2
0.1%
2 Diseased, 1 consumed 1
0%
2 Diseased; 2 consumed 1
0%
2 consumed, 3 died due to disease 2
0.1%
2 consumed, 6 died due to disease 1
0%
2 died due to disease, 1 consumed 1
0%
2 died due to disease, 2 consumed 1
0%
2 died due to disease, 3 consumed 3
0.1%
20 consumed, 25 died due to disease 1
0%
20000 1
0%
3 Diseased le 2 consumed 2
0.1%
3 Diseased le 3 consumed 1
0%
3 Diseased, 2 consumed 1
0%
3 Diseased, 3 Consumed 1
0%
3 consumed 2
0.1%
3 consumed 3 died due to disease 1
0%
3 consumed, 1 died due to disease 1
0%
3 consumed, 13 died due to disease 1
0%
3 consumed, 3 died due to disease 1
0%
3 consumed, 5 died due to disease 1
0%
3 died due to disease, 2 consumed 6
0.3%
3 died, 3 consumed 1
0%
4 Consumed and 4 died due to disease. 1
0%
4 Diseased 2 consumed 1
0%
4 died, 1 ate by cutting 1
0%
4000 1
0%
5 1
0%
5 Diseased and 3 consumed 1
0%
5 ate by cat, 2 consumed 1
0%
5 ate by cat, 3 consumed 1
0%
5 ate by cat, 5 consumed 2
0.1%
5 attacked by Tiger, 4 diseased 1
0%
5 consumed, 10 died due to disease 1
0%
5 consumed, 3 died 1
0%
5 died due to disease, 3 consumed 1
0%
5 diseased, 2 consumed 1
0%
6 ate by cat, 4 consumed 1
0%
6 consumed, 4 died due to disease. 1
0%
6 died due to disease, 2 consumed 1
0%
6000 1
0%
7 Diseased and 5 consumed 1
0%
7 Diseased, 3 consumed 1
0%
7 died due to disease, 3 consumed 1
0%
8 Diseased, 2 consumed 1
0%
8 diseased, 6 consumed 1
0%
8000 2
0.1%
9 consumed 6 died due to disease 1
0%
9 died due to disease 3 consumed 3
0.1%
998 1
0%
Abnormal birth 1
0%
Accident 4
0.2%
Ate by Aringal 1
0%
Ate by Crow 1
0%
Ate by Leopard 3
0.1%
Ate by Tiger 9
0.4%
Ate by animal 17
0.8%
Ate by animal and Diseased 3
0.1%
Ate by buffalo 1
0%
Ate by cat 2
0.1%
Ate by dog 4
0.2%
Ate by dog and cat 1
0%
Ate by dog and died due to disease 1
0%
Ate by fox 5
0.2%
Ate by fox and consumed by family 1
0%
Ate by insects 1
0%
Ate by man and animal 1
0%
Ate by other animals 2
0.1%
Ate by tiger 2
0.1%
Ate by wild cat 2
0.1%
Attacked by snake 1
0%
Birmingham beer maryo 1
0%
Blast of pond and due to absence of water 1
0%
Caught by Eagle 5
0.2%
Caught by crow 7
0.3%
Caught by eagle 10
0.5%
Caught by eagle, and consumed by family 1
0%
Caught by eagle, and diseased 1
0%
Caught by fox 1
0%
Cessation of urine 2
0.1%
Cold 7
0.3%
Consumed 634
30.5%
Consumed and 8 died due to disease. 1
0%
Consumed and ate by Hapse 1
0%
Consumed and died 1
0%
Consumed and died due to disease 4
0.2%
Consumed and died due to disease. 6
0.3%
Consumed and died when small 1
0%
Consumed and sold 1
0%
Consumed and sold meat 1
0%
Consumed and sold meat by cutting 1
0%
Consumed and some died due to disease 3
0.1%
Consumed and some sold for meat 1
0%
Consumed by poor 1
0%
Consumed during Dewali puja 2
0.1%
Consumed during daughter's marriage 1
0%
Consumed during marriage 1
0%
Consumed in Dashain 2
0.1%
Consumed in marriage ceremony 2
0.1%
Cut 21
1%
Cut for selling meat 16
0.8%
Dairiya 1
0%
Death 1
0%
Decayed inside 1
0%
Diarrhea 8
0.4%
Diarrhoea 1
0%
Died 3
0.1%
Died after birth 1
0%
Died after birth (underdeveloped) 1
0%
Died at delivery two casted goat and its mother 1
0%
Died due to cold 1
0%
Died due to disease 20
1%
Died due to disease and some consumed 7
0.3%
Died due to disease and used for meat 1
0%
Died due to disease in small age 1
0%
Died due to disease when small 1
0%
Died due to drowning 1
0%
Died in small age 3
0.1%
Died on next day of birth 1
0%
Dificulty in delivery process 1
0%
Diseased 802
38.6%
Diseased and consumed 5
0.2%
Diseased and 1 consumed 1
0%
Diseased and 4 consumed 1
0%
Diseased and ate by animal 1
0%
Diseased and ate by cat 1
0%
Diseased and ate by dog 1
0%
Diseased and ate by eagle 1
0%
Diseased and by dog 1
0%
Diseased and consumed 56
2.7%
Diseased and died 40
1.9%
Diseased and insufficiency of mother's milk 1
0%
Don't know 5
0.2%
Drowning 1
0%
Due to Hot 1
0%
Due to absence of mother's milk 1
0%
Due to absence of proper care 1
0%
Due to cold 3
0.1%
Due to drowning 2
0.1%
Due to flood 2
0.1%
Due to insects 1
0%
Due to old age 3
0.1%
Due to poisonous gas 1
0%
Due to scarcity of food 3
0.1%
Due to storm, flood, and landslide 1
0%
Due to unable to suck milk 1
0%
Due to water 1
0%
Eaten by fox 15
0.7%
Eaten by fox and consumed by family 1
0%
Fallen down 12
0.6%
Fallen down and died 4
0.2%
Fallen from cliff 6
0.3%
Fallen from cliiff 1
0%
Farming 1
0%
Fox ate the hen 1
0%
Giving Birth 1
0%
Heat 3
0.1%
Hooked 2
0.1%
In Bhumiraj Festival 1
0%
Killed 6
0.3%
Killed by Jackel 6
0.3%
Killed by Cat 1
0%
Killed by cat 5
0.2%
Killed by dog 1
0%
Killed by eagle, Fox, 1
0%
Killed by fox 3
0.1%
Killed by jackel/ self consumed 1
0%
Killed by wild cat 10
0.5%
Lost in forest. 1
0%
Meat consumption 1
0%
Missed while grazing in forest 1
0%
Missing 1
0%
Old age 5
0.2%
Over tying in neck 1
0%
Phenomonia 1
0%
Poisoned by others 1
0%
Snake 1
0%
Sold by cutting 1
0%
Sold meat by cutting 1
0%
Some consumed and some died 1
0%
Some consumed and some died due to disease 2
0.1%
Some consumed and some eaten by fox 1
0%
Some consumed, some died and some sold for meat 1
0%
Some taken by eagle and some taken by wild cat 1
0%
Squeezed 1
0%
Squeezed by mother 2
0.1%
Suicide 1
0%
Taken by rat 1
0%
Taken by squirrel 6
0.3%
Tiger attack 3
0.1%
Unable to give birth 2
0.1%
Unable to pass urine 1
0%
Unable to suck milk after birth 1
0%
Used for meat 54
2.6%
Used for meat and died due to disease 5
0.2%
Used for meat and sold 1
0%
Used for meat and some died 1
0%
Used for meat and some died due to disease 3
0.1%
Used for meat in marriage ceremony 1
0%
Used in Puja 4
0.2%
Used in Puja and consumed 1
0%
Vehicle accident 1
0%
While Giving Birth 1
0%
bhakhal chadhayeko 1
0%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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