Overview

Dataset statistics

Number of variables14
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory116.9 B

Variable types

Categorical12
Numeric2

Dataset

Description구조구급대원1인당 담당주민수 정보
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2853

Alerts

통계표ID has constant value ""Constant
기관코드 has constant value ""Constant
수록주기 has constant value ""Constant
단위명 has constant value ""Constant
단위 영문명 has constant value ""Constant
통계표명 has constant value ""Constant
분류명1 has constant value ""Constant
항목ID is highly overall correlated with 항목명High correlation
분류값 명1 is highly overall correlated with 분류값 ID1 and 1 other fieldsHigh correlation
분류값 영문명1 is highly overall correlated with 분류값 ID1 and 1 other fieldsHigh correlation
항목명 is highly overall correlated with 항목IDHigh correlation
분류값 ID1 is highly overall correlated with 분류값 명1 and 1 other fieldsHigh correlation
분류값 ID1 has 8 (5.6%) zerosZeros

Reproduction

Analysis started2024-01-14 06:38:56.309174
Analysis finished2024-01-14 06:38:59.867313
Duration3.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

통계표ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
DT_1YL21101
144 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDT_1YL21101
2nd rowDT_1YL21101
3rd rowDT_1YL21101
4th rowDT_1YL21101
5th rowDT_1YL21101

Common Values

ValueCountFrequency (%)
DT_1YL21101 144
100.0%

Length

2024-01-14T15:38:59.939918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:00.093507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
dt_1yl21101 144
100.0%

기관코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
101
144 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 144
100.0%

Length

2024-01-14T15:39:00.187863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:00.285223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 144
100.0%

수록주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
A
144 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 144
100.0%

Length

2024-01-14T15:39:00.379191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:00.466028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 144
100.0%

항목명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
주민등록인구＜br＞(A)
36 
구조대원 수＜br＞(B)
36 
구급대원 수＜br＞(C)
36 
구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)}
36 

Length

Max length30
Median length13
Mean length17.25
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주민등록인구＜br＞(A)
2nd row구조대원 수＜br＞(B)
3rd row구급대원 수＜br＞(C)
4th row구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)}
5th row주민등록인구＜br＞(A)

Common Values

ValueCountFrequency (%)
주민등록인구＜br＞(A) 36
25.0%
구조대원 수＜br＞(B) 36
25.0%
구급대원 수＜br＞(C) 36
25.0%
구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)} 36
25.0%

Length

2024-01-14T15:39:00.564711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:00.668694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주민등록인구＜br＞(a 36
12.5%
구조대원 36
12.5%
수＜br＞(b 36
12.5%
구급대원 36
12.5%
수＜br＞(c 36
12.5%
구조·구급대원 36
12.5%
1인당 36
12.5%
담당주민수＜br＞{a÷(b+c 36
12.5%

항목ID
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
T001
36 
T002
36 
T003
36 
T10
36 

Length

Max length4
Median length4
Mean length3.75
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowT001
2nd rowT002
3rd rowT003
4th rowT10
5th rowT001

Common Values

ValueCountFrequency (%)
T001 36
25.0%
T002 36
25.0%
T003 36
25.0%
T10 36
25.0%

Length

2024-01-14T15:39:00.774882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:00.872077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
t001 36
25.0%
t002 36
25.0%
t003 36
25.0%
t10 36
25.0%

단위명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
명
144 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
명 144
100.0%

Length

2024-01-14T15:39:00.992612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:01.099421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
명 144
100.0%

분류값 ID1
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.555556
Minimum0
Maximum39
Zeros8
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-14T15:39:01.193966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q123
median30
Q335
95-th percentile38.85
Maximum39
Range39
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.7820857
Coefficient of variation (CV)0.35499504
Kurtosis1.4179399
Mean27.555556
Median Absolute Deviation (MAD)6
Skewness-1.2738595
Sum3968
Variance95.6892
MonotonicityNot monotonic
2024-01-14T15:39:01.308628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 8
 
5.6%
32 8
 
5.6%
39 8
 
5.6%
38 8
 
5.6%
37 8
 
5.6%
36 8
 
5.6%
35 8
 
5.6%
34 8
 
5.6%
33 8
 
5.6%
31 8
 
5.6%
Other values (8) 64
44.4%
ValueCountFrequency (%)
0 8
5.6%
11 8
5.6%
21 8
5.6%
22 8
5.6%
23 8
5.6%
24 8
5.6%
25 8
5.6%
26 8
5.6%
29 8
5.6%
31 8
5.6%
ValueCountFrequency (%)
39 8
5.6%
38 8
5.6%
37 8
5.6%
36 8
5.6%
35 8
5.6%
34 8
5.6%
33 8
5.6%
32 8
5.6%
31 8
5.6%
29 8
5.6%

단위 영문명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
In Person
144 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIn Person
2nd rowIn Person
3rd rowIn Person
4th rowIn Person
5th rowIn Person

Common Values

ValueCountFrequency (%)
In Person 144
100.0%

Length

2024-01-14T15:39:01.441593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:01.561798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
in 144
50.0%
person 144
50.0%

수치값
Real number (ℝ)

Distinct143
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1432812.4
Minimum31
Maximum51638809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-14T15:39:01.672491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile126.05
Q1412.25
median1539.75
Q3103395.75
95-th percentile3317267.6
Maximum51638809
Range51638778
Interquartile range (IQR)102983.5

Descriptive statistics

Standard deviation6310819.4
Coefficient of variation (CV)4.404498
Kurtosis55.139323
Mean1432812.4
Median Absolute Deviation (MAD)1280.75
Skewness7.2213112
Sum2.0632499 × 108
Variance3.9826442 × 1013
MonotonicityNot monotonic
2024-01-14T15:39:01.808932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
990.0 2
 
1.4%
51638809.0 1
 
0.7%
5432.0 1
 
0.7%
138.0 1
 
0.7%
297.0 1
 
0.7%
3289.8 1
 
0.7%
1446072.0 1
 
0.7%
146.0 1
 
0.7%
292.0 1
 
0.7%
3301.5 1
 
0.7%
Other values (133) 133
92.4%
ValueCountFrequency (%)
31.0 1
0.7%
38.0 1
0.7%
75.0 1
0.7%
90.0 1
0.7%
99.0 1
0.7%
108.0 1
0.7%
121.0 1
0.7%
125.0 1
0.7%
132.0 1
0.7%
138.0 1
0.7%
ValueCountFrequency (%)
51638809.0 1
0.7%
51439038.0 1
0.7%
13589432.0 1
0.7%
13565450.0 1
0.7%
9509458.0 1
0.7%
9428372.0 1
0.7%
3350380.0 1
0.7%
3317812.0 1
0.7%
3314183.0 1
0.7%
3280493.0 1
0.7%

분류값 명1
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
전국
 
8
서울특별시
 
8
부산광역시
 
8
대구광역시
 
8
인천광역시
 
8
Other values (14)
104 

Length

Max length7
Median length5
Mean length4.6111111
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전국
2nd row전국
3rd row전국
4th row전국
5th row서울특별시

Common Values

ValueCountFrequency (%)
전국 8
 
5.6%
서울특별시 8
 
5.6%
부산광역시 8
 
5.6%
대구광역시 8
 
5.6%
인천광역시 8
 
5.6%
광주광역시 8
 
5.6%
대전광역시 8
 
5.6%
울산광역시 8
 
5.6%
세종특별자치시 8
 
5.6%
경기도 8
 
5.6%
Other values (9) 64
44.4%

Length

2024-01-14T15:39:01.997805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전국 8
 
5.6%
서울특별시 8
 
5.6%
제주특별자치도 8
 
5.6%
경상남도 8
 
5.6%
경상북도 8
 
5.6%
전라남도 8
 
5.6%
전라북도 8
 
5.6%
충청남도 8
 
5.6%
충청북도 8
 
5.6%
경기도 8
 
5.6%
Other values (9) 64
44.4%

수록시점
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2021
72 
2022
72 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 72
50.0%
2022 72
50.0%

Length

2024-01-14T15:39:02.195059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:02.303748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 72
50.0%
2022 72
50.0%

분류값 영문명1
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Whole country
 
8
Seoul
 
8
Busan
 
8
Daegu
 
8
Incheon
 
8
Other values (13)
104 

Length

Max length17
Median length12.5
Mean length9.7222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhole country
2nd rowWhole country
3rd rowWhole country
4th rowWhole country
5th rowSeoul

Common Values

ValueCountFrequency (%)
Whole country 8
 
5.6%
Seoul 8
 
5.6%
Busan 8
 
5.6%
Daegu 8
 
5.6%
Incheon 8
 
5.6%
Gwangju 8
 
5.6%
Daejeon 8
 
5.6%
Ulsan 8
 
5.6%
Sejong 8
 
5.6%
Gyeonggi-do 8
 
5.6%
Other values (8) 64
44.4%

Length

2024-01-14T15:39:02.410561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
whole 8
 
5.3%
gyeonggi-do 8
 
5.3%
gyeongsangnam-do 8
 
5.3%
gyeongsangbuk-do 8
 
5.3%
jeollanam-do 8
 
5.3%
jeollabuk-do 8
 
5.3%
chungcheongnam-do 8
 
5.3%
chungcheongbuk-do 8
 
5.3%
gangwon-do 8
 
5.3%
sejong 8
 
5.3%
Other values (9) 72
47.4%

통계표명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
구조·구급대원 1인당 담당주민수(시도)
144 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row구조·구급대원 1인당 담당주민수(시도)
2nd row구조·구급대원 1인당 담당주민수(시도)
3rd row구조·구급대원 1인당 담당주민수(시도)
4th row구조·구급대원 1인당 담당주민수(시도)
5th row구조·구급대원 1인당 담당주민수(시도)

Common Values

ValueCountFrequency (%)
구조·구급대원 1인당 담당주민수(시도) 144
100.0%

Length

2024-01-14T15:39:02.687919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:02.812148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구조·구급대원 144
33.3%
1인당 144
33.3%
담당주민수(시도 144
33.3%

분류명1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
행정구역별
144 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정구역별 144
100.0%

Length

2024-01-14T15:39:02.970465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-14T15:39:03.080709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정구역별 144
100.0%

Interactions

2024-01-14T15:38:58.946479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:38:58.271158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:38:59.147608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T15:38:58.776373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T15:39:03.162981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목명항목ID분류값 ID1수치값분류값 명1수록시점분류값 영문명1
항목명1.0001.0000.0000.3720.0000.0000.000
항목ID1.0001.0000.0000.3720.0000.0000.000
분류값 ID10.0000.0001.0000.5401.0000.0001.000
수치값0.3720.3720.5401.0000.5860.0000.598
분류값 명10.0000.0001.0000.5861.0000.0001.000
수록시점0.0000.0000.0000.0000.0001.0000.000
분류값 영문명10.0000.0001.0000.5981.0000.0001.000
2024-01-14T15:39:03.309057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
항목ID분류값 명1분류값 영문명1항목명수록시점
항목ID1.0000.0000.0001.0000.000
분류값 명10.0001.0000.9960.0000.000
분류값 영문명10.0000.9961.0000.0000.000
항목명1.0000.0000.0001.0000.000
수록시점0.0000.0000.0000.0001.000
2024-01-14T15:39:03.428868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류값 ID1수치값항목명항목ID분류값 명1수록시점분류값 영문명1
분류값 ID11.000-0.1340.0000.0000.9550.0000.959
수치값-0.1341.0000.1520.1520.3400.0000.350
항목명0.0000.1521.0001.0000.0000.0000.000
항목ID0.0000.1521.0001.0000.0000.0000.000
분류값 명10.9550.3400.0000.0001.0000.0000.996
수록시점0.0000.0000.0000.0000.0001.0000.000
분류값 영문명10.9590.3500.0000.0000.9960.0001.000

Missing values

2024-01-14T15:38:59.386316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T15:38:59.725149image/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

통계표ID기관코드수록주기항목명항목ID단위명분류값 ID1단위 영문명수치값분류값 명1수록시점분류값 영문명1통계표명분류명1
0DT_1YL21101101A주민등록인구＜br＞(A)T001명0In Person51638809.0전국2021Whole country구조·구급대원 1인당 담당주민수(시도)행정구역별
1DT_1YL21101101A구조대원 수＜br＞(B)T002명0In Person5284.0전국2021Whole country구조·구급대원 1인당 담당주민수(시도)행정구역별
2DT_1YL21101101A구급대원 수＜br＞(C)T003명0In Person13133.0전국2021Whole country구조·구급대원 1인당 담당주민수(시도)행정구역별
3DT_1YL21101101A구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)}T10명0In Person2803.9전국2021Whole country구조·구급대원 1인당 담당주민수(시도)행정구역별
4DT_1YL21101101A주민등록인구＜br＞(A)T001명11In Person9509458.0서울특별시2021Seoul구조·구급대원 1인당 담당주민수(시도)행정구역별
5DT_1YL21101101A구조대원 수＜br＞(B)T002명11In Person679.0서울특별시2021Seoul구조·구급대원 1인당 담당주민수(시도)행정구역별
6DT_1YL21101101A구급대원 수＜br＞(C)T003명11In Person1473.0서울특별시2021Seoul구조·구급대원 1인당 담당주민수(시도)행정구역별
7DT_1YL21101101A구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)}T10명11In Person4418.9서울특별시2021Seoul구조·구급대원 1인당 담당주민수(시도)행정구역별
8DT_1YL21101101A주민등록인구＜br＞(A)T001명21In Person3350380.0부산광역시2021Busan구조·구급대원 1인당 담당주민수(시도)행정구역별
9DT_1YL21101101A구조대원 수＜br＞(B)T002명21In Person312.0부산광역시2021Busan구조·구급대원 1인당 담당주민수(시도)행정구역별
통계표ID기관코드수록주기항목명항목ID단위명분류값 ID1단위 영문명수치값분류값 명1수록시점분류값 영문명1통계표명분류명1
134DT_1YL21101101A구급대원 수＜br＞(C)T003명37In Person1293.0경상북도2022Gyeongsangbuk-do구조·구급대원 1인당 담당주민수(시도)행정구역별
135DT_1YL21101101A구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)}T10명37In Person1469.2경상북도2022Gyeongsangbuk-do구조·구급대원 1인당 담당주민수(시도)행정구역별
136DT_1YL21101101A주민등록인구＜br＞(A)T001명38In Person3280493.0경상남도2022Gyeongsangnam-do구조·구급대원 1인당 담당주민수(시도)행정구역별
137DT_1YL21101101A구조대원 수＜br＞(B)T002명38In Person433.0경상남도2022Gyeongsangnam-do구조·구급대원 1인당 담당주민수(시도)행정구역별
138DT_1YL21101101A구급대원 수＜br＞(C)T003명38In Person1213.0경상남도2022Gyeongsangnam-do구조·구급대원 1인당 담당주민수(시도)행정구역별
139DT_1YL21101101A구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)}T10명38In Person1993.0경상남도2022Gyeongsangnam-do구조·구급대원 1인당 담당주민수(시도)행정구역별
140DT_1YL21101101A주민등록인구＜br＞(A)T001명39In Person678159.0제주특별자치도2022Jeju구조·구급대원 1인당 담당주민수(시도)행정구역별
141DT_1YL21101101A구조대원 수＜br＞(B)T002명39In Person90.0제주특별자치도2022Jeju구조·구급대원 1인당 담당주민수(시도)행정구역별
142DT_1YL21101101A구급대원 수＜br＞(C)T003명39In Person274.0제주특별자치도2022Jeju구조·구급대원 1인당 담당주민수(시도)행정구역별
143DT_1YL21101101A구조·구급대원 1인당 담당주민수＜br＞{A÷(B+C)}T10명39In Person1863.1제주특별자치도2022Jeju구조·구급대원 1인당 담당주민수(시도)행정구역별