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[UNSDG_​IMF_​INPUTS] Sustainable Development Goals, IMF Inputs

Updated by provider on May 15, 2024 (12:00 AM).

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Frequency [FREQ] (1)
REPORTING_TYPE [REPORTING_​TYPE] (1)
SERIES [SERIES] (16)
REF_AREA [REF_​AREA] (281)
SEX [SEX] (1)
AGE [AGE] (2)
URBANISATION [URBANISATION] (1)
INCOME_WEALTH_QUANTILE [INCOME_​WEALTH_​QUANTILE] (1)
EDUCATION_LEV [EDUCATION_​LEV] (1)
OCCUPATION [OCCUPATION] (1)
CUST_BREAKDOWN [CUST_​BREAKDOWN] (1)
COMPOSITE_BREAKDOWN [COMPOSITE_​BREAKDOWN] (1)
DISABILITY_STATUS [DISABILITY_​STATUS] (1)
ACTIVITY [ACTIVITY] (1)
PRODUCT [PRODUCT] (1)

This dataset has 2,889 series:

[A.G.FB_​ATM_​TOTL.100._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Bulgaria – 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

from
2000=NA
to
2050=NA
min:
26.422
max:
94.387
avg:
81.527
σ:
20.127

[A.G.FB_​ATM_​TOTL.104._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] 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

from
2000=NA
to
2050=NA
min:
0.091
max:
6.863
avg:
2.984
σ:
2.261

[A.G.FB_​ATM_​TOTL.108._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] 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

from
2000=NA
to
2050=NA
min:
0.046
max:
1.688
avg:
0.938
σ:
0.653

[A.G.FB_​ATM_​TOTL.112._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] 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

from
2000=NA
to
2050=NA
min:
10.834
max:
57.226
avg:
42.657
σ:
15.313

[A.G.FB_​ATM_​TOTL.116._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Cambodia – 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

from
2000=NA
to
2050=NA
min:
0.012
max:
37.973
avg:
12.804
σ:
10.816

[A.G.FB_​ATM_​TOTL.12._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] 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

from
2000=NA
to
2050=NA
min:
1.272
max:
9.617
avg:
6.489
σ:
2.693

[A.G.FB_​ATM_​TOTL.120._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Cameroon – 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

from
2000=NA
to
2050=NA
min:
0.323
max:
5.039
avg:
2.692
σ:
1.597

[A.G.FB_​ATM_​TOTL.124._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] 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

from
2000=NA
to
2050=NA
min:
185.159
max:
229.248
avg:
213.13
σ:
10.185

[A.G.FB_​ATM_​TOTL.132._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Cabo Verde – 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

from
2000=NA
to
2050=NA
min:
12.288
max:
48.977
avg:
37.927
σ:
11.409

[A.G.FB_​ATM_​TOTL.140._​T.Y_​GE15._​T._​T._​T._​T._​T._​T._​T._​T._​T] Annual – Global – Number of automated teller machines (ATMs) per 100,000 adults – Central African Republic – 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

from
2000=NA
to
2050=NA
min:
0
max:
1.376
avg:
0.601
σ:
0.494