Login
Login
Microdata Library
  • Home
  • Collections
  • Citations
  • Terms of Use
  • About
  • News
  • Synthetic Data
    Home / Central Data Catalog / ASIA / UNHCR_BGD_2020_JMSNA_HOSTCOMMUNITY_V2.1
ASIA

Joint Multi Sector Needs Assessment: Cox’s Bazar, Rohingya Refugee Response – August 2020, Host Community

Bangladesh, 2020
Get Microdata
Reference ID
UNHCR_BGD_2020_JMSNA_HostCommunity_v2.1
Producer(s)
UNHCR, Inter-sector Coordination Group
Collections
Asia Pacific Needs Assessments
Metadata
Documentation in PDF DDI/XML JSON
Created on
Dec 03, 2020
Last modified
Dec 03, 2020
Page views
54350
Downloads
1623
  • Study Description
  • Data Dictionary
  • Downloads
  • Get Microdata
  • Related Publications
  • Related datasets
  • Data files
  • UNHCR BGD 2020
    JMSNA Host
    Households
  • UNHCR BGD 2020
    JMSNA Host
    Individuals

Data file: UNHCR BGD 2020 JMSNA Host Individuals

Variables: 55

Variables

id
Household ID
ind_ID
Individual ID
weight
Weight
individual_age
Age of individual
under5_HH
Individual is under 5 years old
over_18_HH
Individual is over 18 years old
individual_age_mo
[if less than 1 year old] How many months old is this child?
ind_gender
Gender of individual
female_reprodage
Individual is female of reproductive age
ind_birth_place
[Children < 6 months of age] Where was this child born?
child_nutrition_screened
[Individual aged 6 to 59 months] Past month: did the mother/a volunteer measure
child_enrolment_nfp
[Individual aged 6 to 59 months] Is this child currently enrolled in any nutriti
child_enrolment_nfp_count
Number of children enrolled in NFP
ind_work
During the past 30 days, has this person done any work to earn an income?
ind_need_treatment
Past month: has this person had an illness serious enough that medical treatment
treatment_type
What kind of treatment/check-up did the person require?
ind_need_treatment_cal
Calculation of individual needing treatment
treatment_sought
[If yes] Did this person seek treatment?
treatment_location
[If yes] Where did they seek treatment?
treatment_location1
Treatment: NGO clinic
treatment_location2
Treatment:Government clinic
treatment_location3
Treatment: Private clinic
treatment_location4
Treatment: Pharmacy or drug shop in the market
treatment_location5
Traditional/community healer
treatment_location6
Treatment: Consulted doctor remotely (e.g. over phone/facebook)
treatment_location77
Treatment: Other
treatment_location99
Don't know / no answer
ind_why_notreatment1
No treatment: Don't know where/how to access services
ind_why_notreatment2
No treatment: Health services are too far away/lack of transport
ind_why_notreatment3
No treatment: Lack of transport at night
ind_why_notreatment4
No treatment: Not permitted to go by relative/other household member
ind_why_notreatment5
No treatment: Not permitted to go by relative/other household member at night
ind_why_notreatment6
No treatment: Safety concerns on the way to facilities (during the day)
ind_why_notreatment7
No treatment: Safety/security concerns at night
ind_why_notreatment8
No treatment: Overcrowded (long waiting times)
ind_why_notreatment9
No treatment: Treatment (or medicines) not available
ind_why_notreatment10
No treatment: Language barrier with health service staff
ind_why_notreatment11
No treatment: Health service staff behaviour is bad
ind_why_notreatment12
No treatment: Fear of contracting COVID-19 at the health center
ind_why_notreatment13
No treatment: Fear of contracting COVID-19 on the way
ind_why_notreatment14
No treatment: Fear of what to expect when tested positive for COVID-19
ind_why_notreatment15
No treatment: No treatment accessible at health center for diseases other than C
ind_why_notreatment16
No treatment: Lack of transport due to COVID-19
ind_why_notreatment17
No treatment: No doctors available at health centers
ind_why_notreatment18
No treatment: No female staff at the health facility
ind_why_notreatment19
No treatment: No gender segregration at the health facility
ind_why_notreatment77
No treatment: Other
ind_why_notreatment99
No treatment: Don't know/prefer not to answer
ind_smoke
Does this person smoke cigarettes?
ind_formal_learning
30 days before close due COVID: has this child/person attended formal education?
ind_formal_learning_count
Count if formal education
ind_formal_learning_none
[If none] Before COVID, has this person attended a formal learning spaces?
ind_nonformal_learn
[If none] Before COVID, has this person attended a non-formal learning spaces?
ind_nonformal_learning_count
Counf if non formal education
school_children
Count if individual is school child
Total: 55
Back to Catalog
  • About US
  • Emergencies
  • What we do
  • News and stories
  • Governments and partners
  • Get involved
  • © UNHCR
  • Media Center
  • Emergencies Portal
  • Contact Us
  • Data
  •  
  •  
  •  
  •  
  •  
  • Stay connected

    Follow: