Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Algeria – 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.12._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.12._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]
Algeria [12]
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
20041.26820924350488A0
20051.5038935505802A0
20062.38693843998436A0
20073.71925351045706A0
20084.20101590589756A0
20095.32812790438026A0
20105.92466833897757A0
20116.10017824028813A0
20126.20925063701216A0
20136.51084078633643A0
20147.60685400466661A0
20158.35007732736515A0
20168.57084097592752A0
20179.12724826307573A0
20189.53991893306415A0
20199.63539253254738A0
20208.90217002749393A0