Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Canada – 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.124._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.124._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]
Canada [124]
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
2004185.084533375546A0
2005198.362251272539A0
2006206.49751848005A0
2007212.014940740318A0
2008217.776306810748A0
2009216.257193495033A0
2010218.223367891089A0
2011207.647873245049A0
2012203.393736340183A0
2013221.005731120619A0
2014221.854392355235A0
2015221.491441274378A0
2016223.887762659478A0
2017228.416847280921A0
2018219.963921824827A0
2019214.120619512211A0
2020210.232386215528A0