Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Burundi – 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.108._T.Y_GE15._T._T._T._T._T._T._T._T._T]

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Source

Provider
International Monetary Fund
Dataset
Sustainable Development Goals, IMF Inputs
Series ID
[IMF/UNSDG_IMF_INPUTS/A.G.FB_ATM_TOTL.108._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]
Burundi [108]
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
20040.0534673867654316A0
20050.051216415475757A0
20060.0491560641132713A0
20070.0471735273486166A0
20080.0679605140352054A0
20090.283324829956065A0
20100.525275191672917A0
20110.712589460516843A0
20120.987617254858583A0
20131.55341325165065A0
20141.50818666062895A0
20151.42725076994759A0
20161.41869163003465A0