Overview

Dataset statistics

Number of variables8
Number of observations275
Missing cells243
Missing cells (%)11.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.9 KiB
Average record size in memory70.5 B

Variable types

Categorical1
Text2
Numeric5

Alerts

정책사업예산액(원) is highly overall correlated with 자체사업금액(원) and 2 other fieldsHigh correlation
자체사업금액(원) is highly overall correlated with 정책사업예산액(원) and 2 other fieldsHigh correlation
보조사업금액(원) is highly overall correlated with 정책사업예산액(원) and 3 other fieldsHigh correlation
일반회계예산액(원) is highly overall correlated with 정책사업예산액(원) and 2 other fieldsHigh correlation
정책사업비중비율(%) is highly overall correlated with 보조사업금액(원)High correlation
시군명 has 243 (88.4%) missing valuesMissing
정책사업예산액(원) has unique valuesUnique
자체사업금액(원) has unique valuesUnique
보조사업금액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:06:47.966976
Analysis finished2023-12-10 21:06:50.768352
Duration2.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2022
243 
2023
32 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2022 243
88.4%
2023 32
 
11.6%

Length

2023-12-11T06:06:50.819627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:50.895540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 243
88.4%
2023 32
 
11.6%

시군명
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing243
Missing (%)88.4%
Memory size2.3 KiB
2023-12-11T06:06:51.039497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.09375
Min length3

Characters and Unicode

Total characters99
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row가평군
2nd row경기도
3rd row고양시
4th row과천시
5th row광명시
ValueCountFrequency (%)
경기도 1
 
3.1%
고양시 1
 
3.1%
화성시 1
 
3.1%
하남시 1
 
3.1%
포천시 1
 
3.1%
평택시 1
 
3.1%
파주시 1
 
3.1%
이천시 1
 
3.1%
의정부시 1
 
3.1%
의왕시 1
 
3.1%
Other values (22) 22
68.8%
2023-12-11T06:06:51.314397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 29
29.3%
천 6
 
6.1%
주 5
 
5.1%
양 5
 
5.1%
군 4
 
4.0%
안 3
 
3.0%
평 3
 
3.0%
남 3
 
3.0%
포 3
 
3.0%
성 3
 
3.0%
Other values (31) 35
35.4%

자치단체명
Text

Distinct243
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-11T06:06:51.584988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.8872727
Min length4

Characters and Unicode

Total characters1344
Distinct characters133
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)76.7%

Sample

1st row경기가평군
2nd row경기본청
3rd row경기고양시
4th row경기과천시
5th row경기광명시
ValueCountFrequency (%)
경기가평군 2
 
0.7%
경기평택시 2
 
0.7%
경기안성시 2
 
0.7%
경기여주시 2
 
0.7%
경기용인시 2
 
0.7%
경기연천군 2
 
0.7%
경기양평군 2
 
0.7%
경기의왕시 2
 
0.7%
경기하남시 2
 
0.7%
경기이천시 2
 
0.7%
Other values (233) 255
92.7%
2023-12-11T06:06:51.955704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1344
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1344
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1344
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
경 110
 
8.2%
시 105
 
7.8%
군 89
 
6.6%
구 84
 
6.2%
남 73
 
5.4%
기 65
 
4.8%
북 57
 
4.2%
전 45
 
3.3%
산 41
 
3.1%
천 39
 
2.9%
Other values (123) 636
47.3%

정책사업예산액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.288506 × 1012
Minimum1.1850027 × 1011
Maximum2.7791509 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:06:52.069972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1850027 × 1011
5-th percentile2.8525 × 1011
Q14.1208998 × 1011
median5.9566754 × 1011
Q39.099987 × 1011
95-th percentile4.7752401 × 1012
Maximum2.7791509 × 1013
Range2.7673009 × 1013
Interquartile range (IQR)4.9790872 × 1011

Descriptive statistics

Standard deviation3.0219926 × 1012
Coefficient of variation (CV)2.3453461
Kurtosis53.927998
Mean1.288506 × 1012
Median Absolute Deviation (MAD)2.1220063 × 1011
Skewness6.8990427
Sum3.5433915 × 1014
Variance9.1324393 × 1024
MonotonicityNot monotonic
2023-12-11T06:06:52.178925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
369641257000 1
 
0.4%
515557662000 1
 
0.4%
531133635000 1
 
0.4%
260824817000 1
 
0.4%
4958594802000 1
 
0.4%
308117501000 1
 
0.4%
521851315000 1
 
0.4%
904563122000 1
 
0.4%
863594755000 1
 
0.4%
812667867000 1
 
0.4%
Other values (265) 265
96.4%
ValueCountFrequency (%)
118500271000 1
0.4%
152065666000 1
0.4%
158335847000 1
0.4%
193479848000 1
0.4%
214340519000 1
0.4%
217707153000 1
0.4%
239352522000 1
0.4%
243123863000 1
0.4%
257275184000 1
0.4%
260824817000 1
0.4%
ValueCountFrequency (%)
27791509055000 1
0.4%
27348580895000 1
0.4%
24697725516000 1
0.4%
9219824625000 1
0.4%
9031473463000 1
0.4%
8635385457000 1
0.4%
8275364664000 1
0.4%
7838252722000 1
0.4%
7054091206000 1
0.4%
6755911471000 1
0.4%

자체사업금액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0951617 × 1011
Minimum3.4272961 × 1010
Maximum1.5603525 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:06:52.289387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4272961 × 1010
5-th percentile5.602932 × 1010
Q11.2618472 × 1011
median1.852253 × 1011
Q33.1915107 × 1011
95-th percentile1.9055598 × 1012
Maximum1.5603525 × 1013
Range1.5569252 × 1013
Interquartile range (IQR)1.9296635 × 1011

Descriptive statistics

Standard deviation1.5736263 × 1012
Coefficient of variation (CV)3.0884718
Kurtosis67.785384
Mean5.0951617 × 1011
Median Absolute Deviation (MAD)8.1663663 × 1010
Skewness7.9019539
Sum1.4011695 × 1014
Variance2.4762997 × 1024
MonotonicityNot monotonic
2023-12-11T06:06:52.402251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149215406000 1
 
0.4%
92690046000 1
 
0.4%
62702981000 1
 
0.4%
34272961000 1
 
0.4%
2299852603000 1
 
0.4%
95153582000 1
 
0.4%
196813042000 1
 
0.4%
181424203000 1
 
0.4%
132895715000 1
 
0.4%
96811893000 1
 
0.4%
Other values (265) 265
96.4%
ValueCountFrequency (%)
34272961000 1
0.4%
38021409000 1
0.4%
38104051000 1
0.4%
39388012000 1
0.4%
39608368000 1
0.4%
45110071000 1
0.4%
50412931000 1
0.4%
50482371000 1
0.4%
51998843000 1
0.4%
52815248000 1
0.4%
ValueCountFrequency (%)
15603524529000 1
0.4%
14188826636000 1
0.4%
13564500357000 1
0.4%
3956384450000 1
0.4%
3771828041000 1
0.4%
3172860835000 1
0.4%
2919907052000 1
0.4%
2786910658000 1
0.4%
2700084196000 1
0.4%
2366151617000 1
0.4%

보조사업금액(원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct275
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7898985 × 1011
Minimum8.039622 × 1010
Maximum1.4227009 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:06:52.516372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.039622 × 1010
5-th percentile1.8265279 × 1011
Q12.732832 × 1011
median4.0091292 × 1011
Q36.533909 × 1011
95-th percentile2.4842434 × 1012
Maximum1.4227009 × 1013
Range1.4146612 × 1013
Interquartile range (IQR)3.801077 × 1011

Descriptive statistics

Standard deviation1.5057323 × 1012
Coefficient of variation (CV)1.9329293
Kurtosis43.621481
Mean7.7898985 × 1011
Median Absolute Deviation (MAD)1.5060679 × 1011
Skewness6.0477017
Sum2.1422221 × 1014
Variance2.2672298 × 1024
MonotonicityNot monotonic
2023-12-11T06:06:52.631174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
220425851000 1
 
0.4%
422867616000 1
 
0.4%
468430654000 1
 
0.4%
226551856000 1
 
0.4%
2658742199000 1
 
0.4%
212963919000 1
 
0.4%
325038273000 1
 
0.4%
723138919000 1
 
0.4%
730699040000 1
 
0.4%
715855974000 1
 
0.4%
Other values (265) 265
96.4%
ValueCountFrequency (%)
80396220000 1
0.4%
91783923000 1
0.4%
100066823000 1
0.4%
111806400000 1
0.4%
114385330000 1
0.4%
127714003000 1
0.4%
129559972000 1
0.4%
150220345000 1
0.4%
159258777000 1
0.4%
170150475000 1
0.4%
ValueCountFrequency (%)
14227008698000 1
0.4%
13159754259000 1
0.4%
9094200987000 1
0.4%
6299917573000 1
0.4%
5935301261000 1
0.4%
5488454006000 1
0.4%
5075089013000 1
0.4%
4860808351000 1
0.4%
4687939589000 1
0.4%
4066424681000 1
0.4%

일반회계예산액(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct274
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5095293 × 1012
Minimum1.6694544 × 1011
Maximum3.134246 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:06:52.744246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.6694544 × 1011
5-th percentile3.5384416 × 1011
Q15.0052025 × 1011
median7.2 × 1011
Q31.0712129 × 1012
95-th percentile5.4103729 × 1012
Maximum3.134246 × 1013
Range3.1175514 × 1013
Interquartile range (IQR)5.7069266 × 1011

Descriptive statistics

Standard deviation3.4509361 × 1012
Coefficient of variation (CV)2.2861008
Kurtosis53.190142
Mean1.5095293 × 1012
Median Absolute Deviation (MAD)2.521893 × 1011
Skewness6.8566682
Sum4.1512056 × 1014
Variance1.190896 × 1025
MonotonicityNot monotonic
2023-12-11T06:06:52.853725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
720000000000 2
 
0.7%
1014806400000 1
 
0.4%
508271341000 1
 
0.4%
629795710000 1
 
0.4%
340864613000 1
 
0.4%
5670155328000 1
 
0.4%
364190973000 1
 
0.4%
613806172000 1
 
0.4%
462298820000 1
 
0.4%
943339236000 1
 
0.4%
Other values (264) 264
96.0%
ValueCountFrequency (%)
166945436000 1
0.4%
196476971000 1
0.4%
215500000000 1
0.4%
243024278000 1
0.4%
280435723000 1
0.4%
287000000000 1
0.4%
301251647000 1
0.4%
308000000000 1
0.4%
314807864000 1
0.4%
324724497000 1
0.4%
ValueCountFrequency (%)
31342459847000 1
0.4%
29977017979000 1
0.4%
29975489088000 1
0.4%
11128166851000 1
0.4%
10108293256000 1
0.4%
9757400000000 1
0.4%
9326396434000 1
0.4%
9058346252000 1
0.4%
8027600000000 1
0.4%
7820000000000 1
0.4%

정책사업비중비율(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct113
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.328364
Minimum68.4
Maximum92.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-11T06:06:52.962550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.4
5-th percentile77.4
Q181.25
median83.9
Q385.3
95-th percentile88.23
Maximum92.7
Range24.3
Interquartile range (IQR)4.05

Descriptive statistics

Standard deviation3.4645434
Coefficient of variation (CV)0.041577001
Kurtosis1.5052588
Mean83.328364
Median Absolute Deviation (MAD)2
Skewness-0.60177328
Sum22915.3
Variance12.003061
MonotonicityNot monotonic
2023-12-11T06:06:53.068691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.3 10
 
3.6%
84.2 8
 
2.9%
84.9 7
 
2.5%
85.5 7
 
2.5%
80.2 7
 
2.5%
85.0 7
 
2.5%
82.3 6
 
2.2%
84.6 6
 
2.2%
84.7 6
 
2.2%
83.1 6
 
2.2%
Other values (103) 205
74.5%
ValueCountFrequency (%)
68.4 1
0.4%
71.0 1
0.4%
73.5 1
0.4%
73.7 1
0.4%
73.9 1
0.4%
75.8 1
0.4%
75.9 1
0.4%
76.4 1
0.4%
76.5 1
0.4%
76.7 2
0.7%
ValueCountFrequency (%)
92.7 1
0.4%
91.4 1
0.4%
91.2 2
0.7%
90.3 1
0.4%
90.2 2
0.7%
89.7 1
0.4%
89.5 1
0.4%
89.3 1
0.4%
89.1 1
0.4%
88.9 1
0.4%

Interactions

2023-12-11T06:06:50.155899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.260219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.608698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.997262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.437684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:50.257963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.327652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.686983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.072059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.523984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:50.352810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.404052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.774006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.150853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.874065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:50.437937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.475779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.851895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.255694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.961418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:50.520541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.545567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:48.928941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.350200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:50.053623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:06:53.143328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도시군명정책사업예산액(원)자체사업금액(원)보조사업금액(원)일반회계예산액(원)정책사업비중비율(%)
회계연도1.000NaN0.0000.1160.0000.0000.061
시군명NaN1.0001.0001.0001.0001.0001.000
정책사업예산액(원)0.0001.0001.0000.8410.9511.0000.569
자체사업금액(원)0.1161.0000.8411.0000.8520.9570.640
보조사업금액(원)0.0001.0000.9510.8521.0000.9170.534
일반회계예산액(원)0.0001.0001.0000.9570.9171.0000.498
정책사업비중비율(%)0.0611.0000.5690.6400.5340.4981.000
2023-12-11T06:06:53.248178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정책사업예산액(원)자체사업금액(원)보조사업금액(원)일반회계예산액(원)정책사업비중비율(%)회계연도
정책사업예산액(원)1.0000.8530.9700.9980.4760.000
자체사업금액(원)0.8531.0000.7210.8590.3120.141
보조사업금액(원)0.9700.7211.0000.9650.5020.000
일반회계예산액(원)0.9980.8590.9651.0000.4280.000
정책사업비중비율(%)0.4760.3120.5020.4281.0000.045
회계연도0.0000.1410.0000.0000.0451.000

Missing values

2023-12-11T06:06:50.618551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:06:50.726203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

회계연도시군명자치단체명정책사업예산액(원)자체사업금액(원)보조사업금액(원)일반회계예산액(원)정책사업비중비율(%)
02023가평군경기가평군36964125700014921540600022042585100046229882000080.0
12023경기도경기본청2779150905500013564500357000142270086980002997701797900092.7
22023고양시경기고양시21019810780006932132490001408767829000256750041000081.9
32023과천시경기과천시30224581800018786048800011438533000037770283700080.0
42023광명시경기광명시70655016600031652128500039002888100088674441500079.7
52023광주시경기광주시953779855000361011904000592767951000109000233600087.5
62023구리시경기구리시50657141800020642808700030014333100059680155000084.9
72023군포시경기군포시60835205400021246128300039589077100072332097300084.1
82023김포시경기김포시1239808620000488084166000751724454000140626593500088.2
92023남양주시경기남양주시16499730330005980031130001051969920000190753543700086.5
회계연도시군명자치단체명정책사업예산액(원)자체사업금액(원)보조사업금액(원)일반회계예산액(원)정책사업비중비율(%)
2652022<NA>충북괴산군43381760800016185889000027195871800051028678700085.0
2662022<NA>충북음성군56338354500018597594700037740759800067109220000084.0
2672022<NA>충북단양군31049159500013538070300017511089200037304396100083.2
2682022<NA>충남본청705409120600023661516170004687939589000782000000000090.2
2692022<NA>충남천안시15381475070003942402890001143907218000183000000000084.1
2702022<NA>충남공주시63191624900024743509300038448115600077050000000082.0
2712022<NA>충남보령시64844539600024753247900040091291700077894500000083.2
2722022<NA>충남아산시880780833000306202378000574578455000107000000000082.3
2732022<NA>충남서산시850079226000315130584000534948642000101739944200083.6
2742022<NA>충남논산시69085725100025161289100043924436000084916854600081.4