Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Myanmar – Both sexes or no breakdown by sex – 15 years old and over – Total – Total (national average) or no breakdown – Total or no breakdown by education level – Total or no breakdown by Occupation – No breakdown – No breakdown – No breakdown by disability – No breakdown – No breakdown [A.G.FB_ATM_TOTL.104._T.Y_GE15._T._T._T._T._T._T._T._T._T]

Apply filters
Loading chart

Source

Provider
International Monetary Fund
Dataset
Sustainable Development Goals, IMF Inputs
Series ID
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.104._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Updated by DBnomics on
April 5, 2022

Dimensions

Frequency [FREQ]
Annual [A]
REPORTING_TYPE [REPORTING_TYPE]
Global [G]
SERIES [SERIES]
Number of automated teller machines (ATMs) per 100,000 adults [FB_ATM_TOTL]
REF_AREA [REF_AREA]
Myanmar [104]
SEX [SEX]
Both sexes or no breakdown by sex [_T]
AGE [AGE]
15 years old and over [Y_GE15]
URBANISATION [URBANISATION]
Total [_T]
INCOME_WEALTH_QUANTILE [INCOME_WEALTH_QUANTILE]
Total (national average) or no breakdown [_T]
EDUCATION_LEV [EDUCATION_LEV]
Total or no breakdown by education level [_T]
OCCUPATION [OCCUPATION]
Total or no breakdown by Occupation [_T]
CUST_BREAKDOWN [CUST_BREAKDOWN]
No breakdown [_T]
COMPOSITE_BREAKDOWN [COMPOSITE_BREAKDOWN]
No breakdown [_T]
DISABILITY_STATUS [DISABILITY_STATUS]
No breakdown by disability [_T]
ACTIVITY [ACTIVITY]
No breakdown [_T]
PRODUCT [PRODUCT]
No breakdown [_T]
Period Value OBS_STATUSUNIT_MULT
20120.0906517821934353A0
20130.606442011486932A0
20141.68348793942303A0
20151.95390966410294A0
20162.66161288812107A0
20174.37887535270112A0
20185.6340980061969A0
20196.86315863189676A0