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MICS

Multiple Indicator Cluster Survey 2019-2020
Round 6

Samoa, 2019 - 2020
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Reference ID
WSM_2019_MICS_v01_M
Producer(s)
United Nations Children's Fund (UNICEF)
Collection(s)
UNICEF Multiple Indicator Cluster Surveys (MICS)
Metadata
DDI/XML JSON
Created on
Feb 03, 2022
Last modified
Jul 27, 2023
Page views
57619

Data file: mn

Men (15-49 years of age)

Cases: 1466
Variables: 389

Variables

MPA2A
Village
MPA2B
Ministry of health
MPA2C
Private
MPA2D
Personal exercise
MPA2X
Other
MPA2NR
No Response
MNT1
How many servings of fruits do you usually have in a week
MNT2
How many servings of vegetables do you usually have in a week
MNT3A
How often eat food: Fish, crab, octopus, sea cucumber, lobster, eel and other sea food
MNT3B
How often eat food: Fried chicken/fish, turkey tails, pancakes, mutton, corned beef, coconut cream and other fatty foods
MNT3C
How often eat food: Lollies, cakes, ice cream, cookies, coconut jam and other sugary foods
MNT3D
How often eat food: Noodles, corned beef, sausages, meat pie, tin fish, twisties, soy sauce, tomato sauce and other salty foods
MNT3E
How often eat food: Taro, giant taro, yam, breadfruit, potatoes and other starchy foods
MCC1
How well informed is your household on the effects of climate change?
MCC2A
Local newspaper
MCC2B
Local television
MCC2C
Local radio
MCC2D
Facebook
MCC2E
Internet
MCC2F
School
MCC2G
Academic sources (research)
MCC2X
Other
MCC2Z
Don't Know
MCC2NR
No Response
MCC3A
See level rise
MCC3B
Ocean temperature
MCC3C
Ocean current change
MCC3D
Surface water flooding
MCC3E
Change to fresh water
MCC3F
Decrease access to fresh water
MCC3G
Drought
MCC3H
Change to rainfall pattern
MCC3I
Increase pollution in water and air
MCC3J
Change in temperature
MCC3K
MCC3K
MCC3L
Increase cost of living
MCC3M
Adverse impact on human health
MCC3X
Other
MCC3Z
Don't Know
MCC4A
See level rise
MCC4B
Ocean temperature
MCC4C
Ocean current change
MCC4D
Surface water flooding
MCC4E
Change to fresh water
MCC4F
Decrease access to fresh water
MCC4G
Drought
MCC4H
Change to rainfall pattern
MCC4I
Increase pollution in water and air
MCC4J
Change in temperature
MCC4K
MCC4K
MCC4L
Increase cost of living
MCC4M
Adverse impact on human health
MCC4X
Other
MCC4Z
Don't Know
MCC4NR
No response
MLS1
Estimation of overall happiness
MLS2
Satisfaction with ladder step
MLS3
Life satisfaction in comparison with last year
MLS4
Life satisfaction expectation one year from now
HH4
Supervisor number
HH6
Area
HH7
Region
MWDOI
Date of interview man (CMC)
MWAGE
Age
MWDOB
Date of birth of man (CMC)
MWDOM
Date of marriage of man (CMC)
MWAGEM
Age at first marriage/union of man
MMSTATUS
Marital/Union status of man
mwelevel
Education
minsurance
Health insurance
mdisability
Functional difficulties (age 18-49 years)
mmactivity
Men's Main activity
mreligion
Men’s religion
mnemployment
Men's employment status
ethnicity
Ethnicity of household head
religion
Religion of household head
mnweight
Men's sample weight
wscore
Combined wealth score
windex5
Wealth index quintile
windex10
Wealth index deciles
wscoreu
Urban wealth score
windex5u
Urban wealth index quintile
windex10u
Urban wealth index deciles
wscorer
Rural wealth score
windex5r
Rural wealth index quintile
windex10r
Rural wealth index deciles
PSU
Primary sampling unit
stratum
Sample strata
IncProb_men_mean
Average inclusion probability for selected men households (for fpc)
Total: 389
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