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

Updated by provider on March 21, 2025 (12:00 AM).

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Frequency [FREQ] (1)
REPORTING_TYPE [REPORTING_​TYPE] (1)
SERIES [SERIES] (16)
REF_AREA [REF_​AREA] (196)
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 2,515 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
2004=26.422
to
2023=92.696
min:
26.422
max:
94.387
avg:
82.086
σ:
19.767
[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
2012=0.091
to
2019=6.863
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
2004=0.052
to
2022=1.688
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
2004=10.834
to
2023=54.433
min:
10.834
max:
57.226
avg:
43.24
σ:
15.14
[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
2005=0.012
to
2023=46.457
min:
0.012
max:
46.457
avg:
14.575
σ:
12.935
[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
2004=1.272
to
2023=11.958
min:
1.272
max:
11.958
avg:
6.762
σ:
2.882
[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
2004=0.323
to
2020=5.039
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
2004=185.17
to
2023=188.528
min:
185.17
max:
229.249
avg:
211.882
σ:
11.28
[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
2004=12.288
to
2023=49.034
min:
12.288
max:
49.034
avg:
38.482
σ:
11.38
[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
2004=0
to
2017=1.376
min:
0
max:
1.376
avg:
0.601
σ:
0.494