Overview

Dataset statistics

Number of variables11
Number of observations21
Missing cells20
Missing cells (%)8.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory98.3 B

Variable types

Numeric2
Text4
Categorical4
DateTime1

Dataset

Description2020년도 말 기준 경상남도 내 정신병원 현황(정신병원명, 소재지, 연락처, 등)관련 자료를 제공하는 자료 입니다~
Author경상남도
URLhttps://www.data.go.kr/data/15089529/fileData.do

Alerts

일반 병상수 has constant value ""Constant
요양 병상수 has constant value ""Constant
비고 has constant value ""Constant
민간/국립/공립 is highly overall correlated with 정신 병상수 and 1 other fieldsHigh correlation
종별 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 종별High correlation
정신 병상수 is highly overall correlated with 민간/국립/공립High correlation
비고 has 20 (95.2%) missing valuesMissing
연번 has unique valuesUnique
의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:47:33.582713
Analysis finished2023-12-12 03:47:34.678181
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T12:47:34.745895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median11
Q316
95-th percentile20
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.56407607
Kurtosis-1.2
Mean11
Median Absolute Deviation (MAD)5
Skewness0
Sum231
Variance38.5
MonotonicityStrictly increasing
2023-12-12T12:47:34.906114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 1
 
4.8%
2 1
 
4.8%
21 1
 
4.8%
20 1
 
4.8%
19 1
 
4.8%
18 1
 
4.8%
17 1
 
4.8%
16 1
 
4.8%
15 1
 
4.8%
14 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
1 1
4.8%
2 1
4.8%
3 1
4.8%
4 1
4.8%
5 1
4.8%
6 1
4.8%
7 1
4.8%
8 1
4.8%
9 1
4.8%
10 1
4.8%
ValueCountFrequency (%)
21 1
4.8%
20 1
4.8%
19 1
4.8%
18 1
4.8%
17 1
4.8%
16 1
4.8%
15 1
4.8%
14 1
4.8%
13 1
4.8%
12 1
4.8%

의료기관명
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T12:47:35.128250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.952381
Min length4

Characters and Unicode

Total characters209
Distinct characters56
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row의료법인한길사랑의료재단 현대사랑병원
2nd row의료법인예경의료재단 예경병원
3rd row의료법인청아의료재단 동서병원
4th row의료법인 진주의료재단 진주성남병원
5th row의료법인 진주의료재단 새진주정신병원
ValueCountFrequency (%)
의료법인 3
 
9.1%
진주의료재단 3
 
9.1%
의료법인한길사랑의료재단 1
 
3.0%
한마음병원 1
 
3.0%
국립부곡병원 1
 
3.0%
의령사랑병원 1
 
3.0%
형주병원 1
 
3.0%
노아병원 1
 
3.0%
양산병원 1
 
3.0%
덕계성심병원 1
 
3.0%
Other values (19) 19
57.6%
2023-12-12T12:47:35.561248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
병 21
 
10.0%
원 21
 
10.0%
의 16
 
7.7%
료 15
 
7.2%
15
 
7.2%
법 8
 
3.8%
인 8
 
3.8%
재 8
 
3.8%
단 8
 
3.8%
주 7
 
3.3%
Other values (46) 82
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
91.4%
Space Separator 15
 
7.2%
Decimal Number 2
 
1.0%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
병 21
 
11.0%
원 21
 
11.0%
의 16
 
8.4%
료 15
 
7.9%
법 8
 
4.2%
인 8
 
4.2%
재 8
 
4.2%
단 8
 
4.2%
주 7
 
3.7%
진 6
 
3.1%
Other values (42) 73
38.2%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
91.4%
Common 17
 
8.1%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
병 21
 
11.0%
원 21
 
11.0%
의 16
 
8.4%
료 15
 
7.9%
법 8
 
4.2%
인 8
 
4.2%
재 8
 
4.2%
단 8
 
4.2%
주 7
 
3.7%
진 6
 
3.1%
Other values (42) 73
38.2%
Common
ValueCountFrequency (%)
15
88.2%
1 1
 
5.9%
2 1
 
5.9%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
91.4%
ASCII 18
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
병 21
 
11.0%
원 21
 
11.0%
의 16
 
8.4%
료 15
 
7.9%
법 8
 
4.2%
인 8
 
4.2%
재 8
 
4.2%
단 8
 
4.2%
주 7
 
3.7%
진 6
 
3.1%
Other values (42) 73
38.2%
ASCII
ValueCountFrequency (%)
15
83.3%
C 1
 
5.6%
1 1
 
5.6%
2 1
 
5.6%

종별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
정신병원
18 
정신병원
3 

Length

Max length5
Median length4
Mean length4.1428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정신병원 18
85.7%
정신병원 3
 
14.3%

Length

2023-12-12T12:47:35.745079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:35.880966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정신병원 21
100.0%

일반 병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 21
100.0%

Length

2023-12-12T12:47:36.028606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:36.145073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

정신 병상수
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364.90476
Minimum120
Maximum844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T12:47:36.264526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120
5-th percentile180
Q1299
median299
Q3412
95-th percentile650
Maximum844
Range724
Interquartile range (IQR)113

Descriptive statistics

Standard deviation167.77571
Coefficient of variation (CV)0.45977946
Kurtosis2.3045742
Mean364.90476
Median Absolute Deviation (MAD)51
Skewness1.3914538
Sum7663
Variance28148.69
MonotonicityNot monotonic
2023-12-12T12:47:36.475643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
299 9
42.9%
844 1
 
4.8%
180 1
 
4.8%
400 1
 
4.8%
350 1
 
4.8%
412 1
 
4.8%
120 1
 
4.8%
420 1
 
4.8%
290 1
 
4.8%
577 1
 
4.8%
Other values (3) 3
 
14.3%
ValueCountFrequency (%)
120 1
 
4.8%
180 1
 
4.8%
189 1
 
4.8%
290 1
 
4.8%
299 9
42.9%
350 1
 
4.8%
400 1
 
4.8%
412 1
 
4.8%
420 1
 
4.8%
540 1
 
4.8%
ValueCountFrequency (%)
844 1
 
4.8%
650 1
 
4.8%
577 1
 
4.8%
540 1
 
4.8%
420 1
 
4.8%
412 1
 
4.8%
400 1
 
4.8%
350 1
 
4.8%
299 9
42.9%
290 1
 
4.8%

요양 병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
0
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 21
100.0%

Length

2023-12-12T12:47:36.669482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:36.802907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21
100.0%

소재지
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T12:47:37.097485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length24.619048
Min length19

Characters and Unicode

Total characters517
Distinct characters85
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row경상남도 창원시 마산합포구 진북면 동삼길 314-25
2nd row경상남도 창원시 마산합포구 중앙서1길 25 (대성동2가, 예경노인병원)
3rd row경상남도 창원시 마산회원구 내서읍 호원로 265 (동서병원)
4th row경상남도 진주시 문산읍 문산로 831
5th row경상남도 진주시 문산읍 제곡길98번길 41, 4층
ValueCountFrequency (%)
경상남도 21
 
19.4%
양산시 5
 
4.6%
사천시 3
 
2.8%
창원시 3
 
2.8%
문산읍 3
 
2.8%
진주시 3
 
2.8%
부곡면 2
 
1.9%
김해시 2
 
1.9%
상북면 2
 
1.9%
창녕군 2
 
1.9%
Other values (57) 62
57.4%
2023-12-12T12:47:37.700254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
16.8%
1 24
 
4.6%
상 23
 
4.4%
경 22
 
4.3%
남 22
 
4.3%
도 22
 
4.3%
시 18
 
3.5%
산 14
 
2.7%
길 12
 
2.3%
로 12
 
2.3%
Other values (75) 261
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
60.7%
Decimal Number 89
 
17.2%
Space Separator 87
 
16.8%
Dash Punctuation 9
 
1.7%
Close Punctuation 8
 
1.5%
Open Punctuation 8
 
1.5%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 23
 
7.3%
경 22
 
7.0%
남 22
 
7.0%
도 22
 
7.0%
시 18
 
5.7%
산 14
 
4.5%
길 12
 
3.8%
로 12
 
3.8%
동 11
 
3.5%
면 9
 
2.9%
Other values (60) 149
47.5%
Decimal Number
ValueCountFrequency (%)
1 24
27.0%
5 11
12.4%
4 11
12.4%
8 10
11.2%
2 10
11.2%
0 6
 
6.7%
9 5
 
5.6%
3 5
 
5.6%
7 4
 
4.5%
6 3
 
3.4%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
60.7%
Common 203
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 23
 
7.3%
경 22
 
7.0%
남 22
 
7.0%
도 22
 
7.0%
시 18
 
5.7%
산 14
 
4.5%
길 12
 
3.8%
로 12
 
3.8%
동 11
 
3.5%
면 9
 
2.9%
Other values (60) 149
47.5%
Common
ValueCountFrequency (%)
87
42.9%
1 24
 
11.8%
5 11
 
5.4%
4 11
 
5.4%
8 10
 
4.9%
2 10
 
4.9%
- 9
 
4.4%
) 8
 
3.9%
( 8
 
3.9%
0 6
 
3.0%
Other values (5) 19
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
60.7%
ASCII 203
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
42.9%
1 24
 
11.8%
5 11
 
5.4%
4 11
 
5.4%
8 10
 
4.9%
2 10
 
4.9%
- 9
 
4.4%
) 8
 
3.9%
( 8
 
3.9%
0 6
 
3.0%
Other values (5) 19
 
9.4%
Hangul
ValueCountFrequency (%)
상 23
 
7.3%
경 22
 
7.0%
남 22
 
7.0%
도 22
 
7.0%
시 18
 
5.7%
산 14
 
4.5%
길 12
 
3.8%
로 12
 
3.8%
동 11
 
3.5%
면 9
 
2.9%
Other values (60) 149
47.5%

민간/국립/공립
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
민간
16 
민간
3 
공립
 
1
국립
 
1

Length

Max length3
Median length2
Mean length2.1428571
Min length2

Unique

Unique2 ?
Unique (%)9.5%

Sample

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

Common Values

ValueCountFrequency (%)
민간 16
76.2%
민간 3
 
14.3%
공립 1
 
4.8%
국립 1
 
4.8%

Length

2023-12-12T12:47:37.938250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:38.504804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 19
90.5%
공립 1
 
4.8%
국립 1
 
4.8%

개설일자
Date

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum1983-06-03 00:00:00
Maximum2013-03-22 00:00:00
2023-12-12T12:47:38.683996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:38.896577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

전화번호
Text

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T12:47:39.163590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters252
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

Unique17 ?
Unique (%)81.0%

Sample

1st row055-240-8070
2nd row055-249-5555
3rd row055-230-1800
4th row055-759-9500
5th row055-761-7582
ValueCountFrequency (%)
055-761-7582 2
 
9.5%
055-854-6000 2
 
9.5%
055-365-7575 1
 
4.8%
055-240-8070 1
 
4.8%
055-364-0078 1
 
4.8%
055-536-6440 1
 
4.8%
055-600-2000 1
 
4.8%
055-375-7575 1
 
4.8%
055-374-6121 1
 
4.8%
055-389-1234 1
 
4.8%
Other values (9) 9
42.9%
2023-12-12T12:47:39.565661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 63
25.0%
0 49
19.4%
- 42
16.7%
3 18
 
7.1%
4 15
 
6.0%
7 14
 
5.6%
6 13
 
5.2%
8 13
 
5.2%
1 10
 
4.0%
2 9
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.3%
Dash Punctuation 42
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 63
30.0%
0 49
23.3%
3 18
 
8.6%
4 15
 
7.1%
7 14
 
6.7%
6 13
 
6.2%
8 13
 
6.2%
1 10
 
4.8%
2 9
 
4.3%
9 6
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 252
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 63
25.0%
0 49
19.4%
- 42
16.7%
3 18
 
7.1%
4 15
 
6.0%
7 14
 
5.6%
6 13
 
5.2%
8 13
 
5.2%
1 10
 
4.0%
2 9
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 252
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 63
25.0%
0 49
19.4%
- 42
16.7%
3 18
 
7.1%
4 15
 
6.0%
7 14
 
5.6%
6 13
 
5.2%
8 13
 
5.2%
1 10
 
4.0%
2 9
 
3.6%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing20
Missing (%)95.2%
Memory size300.0 B
2023-12-12T12:47:39.744378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
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

Unique1 ?
Unique (%)100.0%

Sample

1st row휴업중
ValueCountFrequency (%)
휴업중 1
100.0%
2023-12-12T12:47:40.075154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 1
33.3%
업 1
33.3%
중 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 1
33.3%
업 1
33.3%
중 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 1
33.3%
업 1
33.3%
중 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 1
33.3%
업 1
33.3%
중 1
33.3%

Interactions

2023-12-12T12:47:34.230294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:34.015308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:34.329539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:47:34.123846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:47:40.206662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명종별정신 병상수소재지민간/국립/공립개설일자전화번호
연번1.0001.0000.9510.2540.9480.5970.9480.955
의료기관명1.0001.0001.0001.0001.0001.0001.0001.000
종별0.9511.0001.0000.3441.0001.0001.0001.000
정신 병상수0.2541.0000.3441.0000.9410.9250.9410.824
소재지0.9481.0001.0000.9411.0000.0001.0001.000
민간/국립/공립0.5971.0001.0000.9250.0001.0000.0000.000
개설일자0.9481.0001.0000.9411.0000.0001.0001.000
전화번호0.9551.0001.0000.8241.0000.0001.0001.000
2023-12-12T12:47:40.372388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
민간/국립/공립종별
민간/국립/공립1.0000.946
종별0.9461.000
2023-12-12T12:47:40.502931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정신 병상수종별민간/국립/공립
연번1.0000.0830.7610.480
정신 병상수0.0831.0000.1710.555
종별0.7610.1711.0000.946
민간/국립/공립0.4800.5550.9461.000

Missing values

2023-12-12T12:47:34.461167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:47:34.617084image/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

연번의료기관명종별일반 병상수정신 병상수요양 병상수소재지민간/국립/공립개설일자전화번호비고
01의료법인한길사랑의료재단 현대사랑병원정신병원02990경상남도 창원시 마산합포구 진북면 동삼길 314-25민간2011-07-06055-240-8070<NA>
12의료법인예경의료재단 예경병원정신병원02990경상남도 창원시 마산합포구 중앙서1길 25 (대성동2가, 예경노인병원)민간2002-08-21055-249-5555<NA>
23의료법인청아의료재단 동서병원정신병원08440경상남도 창원시 마산회원구 내서읍 호원로 265 (동서병원)민간1983-06-03055-230-1800<NA>
34의료법인 진주의료재단 진주성남병원정신병원02990경상남도 진주시 문산읍 문산로 831민간2005-05-16055-759-9500<NA>
45의료법인 진주의료재단 새진주정신병원정신병원01800경상남도 진주시 문산읍 제곡길98번길 41, 4층민간2003-01-21055-761-7582<NA>
56의료법인 진주의료재단 진주정신병원정신병원04000경상남도 진주시 문산읍 제곡길98번길 49-6민간1996-07-09055-761-7582<NA>
67의료법인통영의료재단 통영정신병원정신병원02990경상남도 통영시 도산면 남해안대로 1820민간2008-02-29055-640-1988<NA>
78의료법인순영재단 순영병원정신병원02990경상남도 사천시 축동면 서삼로 1110-35민간1994-05-26055-854-6000휴업중
89경남도립정신병원정신병원03500경상남도 사천시 축동면 서삼로 1110-35공립1994-05-26055-854-6000<NA>
910한마음병원정신병원04120경상남도 사천시 향촌4길 127 (향촌동)민간1985-05-25055-832-3311<NA>
연번의료기관명종별일반 병상수정신 병상수요양 병상수소재지민간/국립/공립개설일자전화번호비고
1112동남병원정신병원04200경상남도 김해시 가야로51번길 42 (삼계동)민간1998-04-20055-331-0454<NA>
121321C 한일병원정신병원02900경상남도 거제시 사등면 지석리 580-4민간2008-04-29055-634-0900<NA>
1314아람병원정신병원02990경상남도 양산시 덕계2길 11-15(덕계동)민간2004-02-06055-364-0078<NA>
1415덕계성심병원정신병원02990경상남도 양산시 월라2길 45(덕계동)민간1999-08-06055-365-7575<NA>
1516양산병원정신병원05770경상남도 양산시 모래등1길 91(주진동)민간1989-03-31055-389-1234<NA>
1617노아병원정신병원02990경상남도 양산시 상북면 수서로 349-17민간1999-12-31055-374-6121<NA>
1718형주병원정신병원05400경상남도 양산시 상북면 양산대로 1870-64민간1996-07-26055-375-7575<NA>
1819의령사랑병원정신병원01890경상남도 의령군 의령읍 의합대로 105-8민간2013-03-22055-600-2000<NA>
1920국립부곡병원정신병원06500경상남도 창녕군 부곡면 부곡로 145국립1988-05-16055-536-6440<NA>
2021부곡온천병원정신병원02990경상남도 창녕군 부곡면 원앙로 72민간1995-05-15055-536-4858<NA>