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NNN020. The rate of persons, which could not afford to cover certain expenses due to the lack of money (per cent) 2005 - 2024
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The rate of persons, which could not afford to cover certain expenses due to the lack of money (per cent) – Indicator, Costs and Time period
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Informācijas un lietotāju atbalsta daļa, Central Statistics Bureau of Latvia
+371 67366922
info@csp.gov.lv
Latest update
3/25/2025
Unit
per cent
Source
Central Statistics Bureau of Latvia
Matrix
NNN020
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The rate of persons, which could not afford to cover certain expenses due to the lack of money (per cent) – Indicator, Costs and Time period
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
All persons
To pay arrears on mortgage or rent, utility bills or hire purchase installments
25.2
15.2
9.4
13.9
21.3
25.2
25.2
24.4
22.4
21.5
18.1
14.9
14.1
13.7
9.9
9.7
7.2
7.1
8.0
7.4
To face unexpected financial expenses
71.0
68.6
61.2
57.0
71.4
78.1
80.4
73.7
69.5
67.4
60.7
59.9
59.8
55.3
49.7
45.6
41.9
44.1
44.8
45.2
To have a meal with meat, chiken, fish every second day.
37.2
33.0
28.2
23.4
22.8
26.8
30.9
25.3
23.3
19.0
16.3
15.6
13.0
11.9
9.8
9.5
6.5
8.8
7.7
7.7
Persons under the poverty risk threshold
To pay arrears on mortgage or rent, utility bills or hire purchase installments
31.0
24.4
14.9
17.7
27.6
42.3
44.3
43.0
35.5
33.1
32.9
25.0
21.6
22.9
13.6
15.5
12.1
15.1
14.1
10.8
To face unexpected financial expenses
91.8
88.3
87.4
84.1
90.2
93.4
94.5
93.2
89.3
86.9
85.9
87.2
85.5
80.9
74.9
74.6
69.6
71.2
72.6
70.8
To have a meal with meat, chiken, fish every second day.
64.4
53.3
53.0
48.3
43.1
54.1
56.6
46.2
47.4
38.8
37.1
35.1
30.7
27.0
22.5
22.1
15.9
21.8
18.2
18.0
Saved query 367
Fixed start time point and all newer time periods
Footnotes
Data recalculated according to the results of the Population Census 2011.
Metadata
... = Data not available or too uncertain for presentation
Additional information on statistical regions.
API query for this table
POST the following JSON query to the URL below to access this table from your application.
URL:
JSON query:
{ "query": [ { "code": "INDICATOR", "selection": { "filter": "vs:VS_POVERTY_RISK_POP", "values": [ "POP", "POP_LI_C" ] } }, { "code": "COSTS", "selection": { "filter": "item", "values": [ "C_HOUSE", "C_UNXP_EXP", "C_MEAL" ] } } ], "response": { "format": "px" } }
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