Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Belarus – 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
Series ID:
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.112._T.Y_GE15._T._T._T._T._T._T._T._T._T]
Frequency: annual
Source
- Provider
- International Monetary Fund
- Dataset
- Sustainable Development Goals, IMF Inputs
- Series
- Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Belarus – 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 [IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.112._T.Y_GE15._T._T._T._T._T._T._T._T._T]
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]
- Belarus [112]
- 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]