Overview

Dataset statistics

Number of variables8
Number of observations121
Missing cells15
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory68.1 B

Variable types

Numeric3
Text3
DateTime1
Categorical1

Dataset

Description부산광역시 종교단체법인 현황에 대한 데이터로 연번, 법인명, 전화번호, 허가년월일, 소재지, 위도, 경도, 데이터기준일자 항목에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15062087/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 15 (12.4%) missing valuesMissing
연번 has unique valuesUnique
법인명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:06:00.800128
Analysis finished2023-12-12 20:06:02.223191
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T05:06:02.316345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q131
median61
Q391
95-th percentile115
Maximum121
Range120
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.073732
Coefficient of variation (CV)0.57497921
Kurtosis-1.2
Mean61
Median Absolute Deviation (MAD)30
Skewness0
Sum7381
Variance1230.1667
MonotonicityStrictly increasing
2023-12-13T05:06:02.792000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
92 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%

법인명
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T05:06:03.048737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length19
Mean length12.181818
Min length3

Characters and Unicode

Total characters1474
Distinct characters222
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)100.0%

Sample

1st row(재)대한예수교장로회경남노회 유지재단
2nd row(재)대각문화원
3rd row(사)대한기독상이군인의집 성화원
4th row(재)한국복음선교회
5th row(재)한국천부교전도관 유지재단
ValueCountFrequency (%)
사단법인 14
 
7.0%
사)대한불교 4
 
2.0%
유지재단 4
 
2.0%
재단법인 4
 
2.0%
대한불교 4
 
2.0%
사)대한불교조계종 3
 
1.5%
조계종 2
 
1.0%
재)천주교 2
 
1.0%
재)대한불교조계종 2
 
1.0%
재)대한불교 2
 
1.0%
Other values (157) 158
79.4%
2023-12-13T05:06:03.447766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 96
 
6.5%
) 96
 
6.5%
사 90
 
6.1%
교 79
 
5.4%
79
 
5.4%
회 54
 
3.7%
재 50
 
3.4%
불 45
 
3.1%
한 42
 
2.8%
대 36
 
2.4%
Other values (212) 807
54.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1168
79.2%
Open Punctuation 96
 
6.5%
Close Punctuation 96
 
6.5%
Space Separator 79
 
5.4%
Lowercase Letter 22
 
1.5%
Decimal Number 7
 
0.5%
Uppercase Letter 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 90
 
7.7%
교 79
 
6.8%
회 54
 
4.6%
재 50
 
4.3%
불 45
 
3.9%
한 42
 
3.6%
대 36
 
3.1%
단 34
 
2.9%
선 33
 
2.8%
원 27
 
2.3%
Other values (189) 678
58.0%
Lowercase Letter
ValueCountFrequency (%)
n 4
18.2%
l 3
13.6%
i 3
13.6%
s 2
9.1%
o 2
9.1%
t 2
9.1%
a 2
9.1%
e 2
9.1%
r 1
 
4.5%
v 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
I 1
16.7%
M 1
16.7%
P 1
16.7%
R 1
16.7%
J 1
16.7%
E 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
7 1
 
14.3%
6 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Space Separator
ValueCountFrequency (%)
79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1166
79.1%
Common 278
 
18.9%
Latin 28
 
1.9%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 90
 
7.7%
교 79
 
6.8%
회 54
 
4.6%
재 50
 
4.3%
불 45
 
3.9%
한 42
 
3.6%
대 36
 
3.1%
단 34
 
2.9%
선 33
 
2.8%
원 27
 
2.3%
Other values (187) 676
58.0%
Latin
ValueCountFrequency (%)
n 4
14.3%
l 3
10.7%
i 3
10.7%
s 2
 
7.1%
o 2
 
7.1%
t 2
 
7.1%
a 2
 
7.1%
e 2
 
7.1%
r 1
 
3.6%
I 1
 
3.6%
Other values (6) 6
21.4%
Common
ValueCountFrequency (%)
( 96
34.5%
) 96
34.5%
79
28.4%
2 3
 
1.1%
1 2
 
0.7%
7 1
 
0.4%
6 1
 
0.4%
Han
ValueCountFrequency (%)
乘 1
50.0%
法 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1166
79.1%
ASCII 306
 
20.8%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 96
31.4%
) 96
31.4%
79
25.8%
n 4
 
1.3%
l 3
 
1.0%
2 3
 
1.0%
i 3
 
1.0%
1 2
 
0.7%
s 2
 
0.7%
o 2
 
0.7%
Other values (13) 16
 
5.2%
Hangul
ValueCountFrequency (%)
사 90
 
7.7%
교 79
 
6.8%
회 54
 
4.6%
재 50
 
4.3%
불 45
 
3.9%
한 42
 
3.6%
대 36
 
3.1%
단 34
 
2.9%
선 33
 
2.8%
원 27
 
2.3%
Other values (187) 676
58.0%
CJK
ValueCountFrequency (%)
乘 1
50.0%
法 1
50.0%

전화번호
Text

MISSING 

Distinct104
Distinct (%)98.1%
Missing15
Missing (%)12.4%
Memory size1.1 KiB
2023-12-13T05:06:03.730009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.028302
Min length12

Characters and Unicode

Total characters1275
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)96.2%

Sample

1st row051-627-7169
2nd row051-246-1452
3rd row051-262-4603
4th row051-506-1920
5th row051-721-4130
ValueCountFrequency (%)
051-582-9955 2
 
1.9%
051-740-4500 2
 
1.9%
051-583-9233 1
 
0.9%
051-759-7144 1
 
0.9%
051-256-1005 1
 
0.9%
051-317-6200 1
 
0.9%
051-756-0691 1
 
0.9%
070-8699-9125 1
 
0.9%
070-8133-9917 1
 
0.9%
051-322-7031 1
 
0.9%
Other values (94) 94
88.7%
2023-12-13T05:06:04.191361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 212
16.6%
0 200
15.7%
5 188
14.7%
1 180
14.1%
2 92
7.2%
7 81
 
6.4%
3 79
 
6.2%
6 73
 
5.7%
4 65
 
5.1%
8 58
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1063
83.4%
Dash Punctuation 212
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 200
18.8%
5 188
17.7%
1 180
16.9%
2 92
8.7%
7 81
7.6%
3 79
 
7.4%
6 73
 
6.9%
4 65
 
6.1%
8 58
 
5.5%
9 47
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1275
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 212
16.6%
0 200
15.7%
5 188
14.7%
1 180
14.1%
2 92
7.2%
7 81
 
6.4%
3 79
 
6.2%
6 73
 
5.7%
4 65
 
5.1%
8 58
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 212
16.6%
0 200
15.7%
5 188
14.7%
1 180
14.1%
2 92
7.2%
7 81
 
6.4%
3 79
 
6.2%
6 73
 
5.7%
4 65
 
5.1%
8 58
 
4.5%

허가년월일
Date

Distinct114
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1935-11-26 00:00:00
Maximum2023-07-10 00:00:00
2023-12-13T05:06:04.382637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:04.557289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지
Text

Distinct118
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T05:06:04.987968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length27.636364
Min length14

Characters and Unicode

Total characters3344
Distinct characters187
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)95.9%

Sample

1st row부산광역시 금정구 장전로 52-1 (장전동)
2nd row부산광역시 중구 광복중앙로 21 (신창동1가)
3rd row부산광역시 사하구 을숙도대로745번길 21 (구평동)
4th row부산광역시 연제구 중앙대로 1197 (거제동)
5th row부산광역시 기장군 기장읍 죽성로 197
ValueCountFrequency (%)
부산광역시 115
 
18.9%
금정구 13
 
2.1%
동래구 11
 
1.8%
연제구 11
 
1.8%
동구 11
 
1.8%
해운대구 9
 
1.5%
중앙대로 9
 
1.5%
부산진구 9
 
1.5%
남구 8
 
1.3%
수영구 8
 
1.3%
Other values (304) 406
66.6%
2023-12-13T05:06:05.606761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
595
 
17.8%
동 146
 
4.4%
산 138
 
4.1%
부 130
 
3.9%
광 125
 
3.7%
구 122
 
3.6%
로 120
 
3.6%
시 118
 
3.5%
역 115
 
3.4%
( 107
 
3.2%
Other values (177) 1628
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1925
57.6%
Space Separator 595
 
17.8%
Decimal Number 523
 
15.6%
Open Punctuation 107
 
3.2%
Close Punctuation 107
 
3.2%
Other Punctuation 44
 
1.3%
Dash Punctuation 41
 
1.2%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 146
 
7.6%
산 138
 
7.2%
부 130
 
6.8%
광 125
 
6.5%
구 122
 
6.3%
로 120
 
6.2%
시 118
 
6.1%
역 115
 
6.0%
길 48
 
2.5%
번 47
 
2.4%
Other values (159) 816
42.4%
Decimal Number
ValueCountFrequency (%)
1 104
19.9%
2 78
14.9%
0 60
11.5%
3 59
11.3%
7 50
9.6%
4 44
8.4%
6 38
 
7.3%
5 34
 
6.5%
9 32
 
6.1%
8 24
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 43
97.7%
· 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
595
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1925
57.6%
Common 1417
42.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 146
 
7.6%
산 138
 
7.2%
부 130
 
6.8%
광 125
 
6.5%
구 122
 
6.3%
로 120
 
6.2%
시 118
 
6.1%
역 115
 
6.0%
길 48
 
2.5%
번 47
 
2.4%
Other values (159) 816
42.4%
Common
ValueCountFrequency (%)
595
42.0%
( 107
 
7.6%
) 107
 
7.6%
1 104
 
7.3%
2 78
 
5.5%
0 60
 
4.2%
3 59
 
4.2%
7 50
 
3.5%
4 44
 
3.1%
, 43
 
3.0%
Other values (6) 170
 
12.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1925
57.6%
ASCII 1418
42.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
595
42.0%
( 107
 
7.5%
) 107
 
7.5%
1 104
 
7.3%
2 78
 
5.5%
0 60
 
4.2%
3 59
 
4.2%
7 50
 
3.5%
4 44
 
3.1%
, 43
 
3.0%
Other values (7) 171
 
12.1%
Hangul
ValueCountFrequency (%)
동 146
 
7.6%
산 138
 
7.2%
부 130
 
6.8%
광 125
 
6.5%
구 122
 
6.3%
로 120
 
6.2%
시 118
 
6.1%
역 115
 
6.0%
길 48
 
2.5%
번 47
 
2.4%
Other values (159) 816
42.4%
None
ValueCountFrequency (%)
· 1
100.0%

위도
Real number (ℝ)

Distinct117
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.187699
Minimum35.060915
Maximum37.558093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T05:06:05.803120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.060915
5-th percentile35.084053
Q135.125245
median35.16854
Q335.204676
95-th percentile35.262199
Maximum37.558093
Range2.4971777
Interquartile range (IQR)0.0794303

Descriptive statistics

Standard deviation0.22416602
Coefficient of variation (CV)0.0063705792
Kurtosis106.46682
Mean35.187699
Median Absolute Deviation (MAD)0.04159626
Skewness10.00675
Sum4257.7116
Variance0.050250407
MonotonicityNot monotonic
2023-12-13T05:06:05.992223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.16853997 3
 
2.5%
35.17188221 2
 
1.7%
35.12694371 2
 
1.7%
35.22962759 1
 
0.8%
35.21696162 1
 
0.8%
35.234696 1
 
0.8%
35.20792528 1
 
0.8%
35.21316592 1
 
0.8%
35.12407111 1
 
0.8%
35.26521016 1
 
0.8%
Other values (107) 107
88.4%
ValueCountFrequency (%)
35.06091486 1
0.8%
35.07102105 1
0.8%
35.07755782 1
0.8%
35.07801401 1
0.8%
35.08223577 1
0.8%
35.08392223 1
0.8%
35.08405253 1
0.8%
35.085895 1
0.8%
35.08604676 1
0.8%
35.0866939 1
0.8%
ValueCountFrequency (%)
37.5580926 1
0.8%
35.33381447 1
0.8%
35.325381 1
0.8%
35.27313844 1
0.8%
35.26544084 1
0.8%
35.26521016 1
0.8%
35.26219907 1
0.8%
35.26075701 1
0.8%
35.25391012 1
0.8%
35.25244411 1
0.8%

경도
Real number (ℝ)

Distinct117
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.04726
Minimum126.82235
Maximum129.23884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T05:06:06.157349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.82235
5-th percentile128.97537
Q1129.0334
median129.06971
Q3129.09604
95-th percentile129.16942
Maximum129.23884
Range2.4164883
Interquartile range (IQR)0.0626332

Descriptive statistics

Standard deviation0.21237239
Coefficient of variation (CV)0.0016456947
Kurtosis102.48982
Mean129.04726
Median Absolute Deviation (MAD)0.0301514
Skewness-9.724007
Sum15614.718
Variance0.04510203
MonotonicityNot monotonic
2023-12-13T05:06:06.352658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.1173574 3
 
2.5%
129.0697051 2
 
1.7%
129.0721994 2
 
1.7%
129.0835802 1
 
0.8%
129.0817421 1
 
0.8%
129.010209 1
 
0.8%
129.1071345 1
 
0.8%
129.0737508 1
 
0.8%
129.0960352 1
 
0.8%
129.0850106 1
 
0.8%
Other values (107) 107
88.4%
ValueCountFrequency (%)
126.8223516 1
0.8%
128.853411 1
0.8%
128.907321 1
0.8%
128.9129295 1
0.8%
128.9559032 1
0.8%
128.9741701 1
0.8%
128.9753701 1
0.8%
128.9757418 1
0.8%
128.9852492 1
0.8%
128.9888616 1
0.8%
ValueCountFrequency (%)
129.2388399 1
0.8%
129.2232419 1
0.8%
129.206854 1
0.8%
129.198603 1
0.8%
129.1870587 1
0.8%
129.1855504 1
0.8%
129.169417 1
0.8%
129.1597131 1
0.8%
129.1538064 1
0.8%
129.1381357 1
0.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-08-18
121 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-18
2nd row2023-08-18
3rd row2023-08-18
4th row2023-08-18
5th row2023-08-18

Common Values

ValueCountFrequency (%)
2023-08-18 121
100.0%

Length

2023-12-13T05:06:06.525447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:06:06.635916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-18 121
100.0%

Interactions

2023-12-13T05:06:01.724650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.171871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.465279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.814306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.271059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.552780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.903538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.374950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:06:01.637246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:06:06.697616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.3320.188
위도0.3321.0000.941
경도0.1880.9411.000
2023-12-13T05:06:06.799618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.055-0.096
위도0.0551.0000.447
경도-0.0960.4471.000

Missing values

2023-12-13T05:06:02.028837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:06:02.175018image/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

연번법인명전화번호허가년월일소재지위도경도데이터기준일자
01(재)대한예수교장로회경남노회 유지재단051-627-71691935-11-26부산광역시 금정구 장전로 52-1 (장전동)35.229628129.083582023-08-18
12(재)대각문화원051-246-14521948-04-13부산광역시 중구 광복중앙로 21 (신창동1가)35.101308129.0306552023-08-18
23(사)대한기독상이군인의집 성화원051-262-46031956-04-06부산광역시 사하구 을숙도대로745번길 21 (구평동)35.086047128.9852492023-08-18
34(재)한국복음선교회051-506-19201957-04-03부산광역시 연제구 중앙대로 1197 (거제동)35.193497129.0779392023-08-18
45(재)한국천부교전도관 유지재단051-721-41301960-07-06부산광역시 기장군 기장읍 죽성로 19735.247164129.238842023-08-18
56(재)천주교부산교구유지재단051-629-87301962-10-26부산광역시 수영구 수영로427번길 39 (남천동)35.144246129.1067752023-08-18
67(재)브니엘총회 유지재단051-867-91071963-01-21부산광역시 연제구 중앙천로73번길 15 (연산동)35.179768129.0800522023-08-18
78(재)태극도051-292-07521963-10-20부산광역시 사하구 감내1로 130 (감천동)35.093889129.0081892023-08-18
89(재)부산 성 베네딕도수녀회051-753-11311965-06-30부산광역시 수영구 수영로497번길 20 (광안동)35.15083129.1102342023-08-18
910(재)마리아수녀회051-256-39071968-08-30부산광역시 서구 천해남로 7 (암남동)35.083922129.0122332023-08-18
연번법인명전화번호허가년월일소재지위도경도데이터기준일자
111112재단법인 대한불교 금수선원<NA>2021-12-28부산광역시 북구 시랑로185번길 20(구포동)35.195899129.0158572023-08-18
112113사단법인 한국불교조계종 승정원<NA>2021-12-28부산광역시 연제구 고분로 248번길 9-135.184106129.1095262023-08-18
113114사단법인 나눔의 행복051-209-01912022-04-14부산광역시 강서구 명지오션시티6로 2(명지동)35.085895128.9073212023-08-18
114115사단법인 대한불교성불조계종 보각사051-647-28722022-06-03부산광역시 해운대구 송정광어골로 15, 11층(송정동)35.179704129.1986032023-08-18
115116사단법인 코이노니아크리스찬협회<NA>2022-06-30부산광역시 북구 화명대로 15, 1007호(화명동, 하이페리온타워)35.235533129.0100142023-08-18
116117사단법인 선광사<NA>2022-08-26부산광역시 사상구 백양대로804번길 42-123(덕포동)35.177145128.9955092023-08-18
117118사단법인 클리어마인드 절명상센터<NA>2022-12-07부산광역시 중구 광복로77번길 5, 2층, 3층(광복동2가)35.099116129.0334512023-08-18
118119사단법인 대한불교 태고종051-558-88302023-03-31부산광역시 동래구 금정마을로 3035.212175129.0602852023-08-18
119120사단법인 대한정교회<NA>2023-06-09부산광역시 동구 중앙대로286번길 3-7, 3층35.122473129.0443032023-08-18
120121사단법인 한국천주교평신도선교사사도회051-972-20072023-07-10부산광역시 강서구 녹산산단335로 7, 732호(송정동, 송정삼정그린코아더시티)35.089571128.8534112023-08-18