Dataset logo

Births Data Summary

Dataset logo
Dataset logo

Births Data Summary

By CDC

Natality Data from CDC Births

Product type

Dataset

Update frequency

Annually

Updated

Aug 25, 2022

Delivery method

Download

Metadata is available for each file version of the dataset. A JSON file can be downloaded once you subscribe to the dataset. The information below is an example of the metadata included in each JSON file.

Dataset file name: Nat2019ps.zip

Key Statistics

Total records

24,372

Missing values

0.982%

Duplicate rows

0%

Columns

Columns

56

Categorical

13

Numeric

38

Date/time

0

Correlations Correlations are columns within the dataset that have a linear dependency on each other and can be dropped or filtered out when creating models

Correlations

6

Correlated columns

11111 and 111111, 1161 and 142, 11 and 11111, 11 and 111111, 99999.1 and 99999, 15 and 091

Column name

Type

Unique values

Min value

Max value

201901

numeric12201901201912

1

numeric313

010311

numeric3610310999971

2

numeric313

015

numeric191918

250405512

numeric503140101101991199999

1.1

numeric201

14

numeric18119

1.2

numeric201

3.1

numeric919

00154

numeric1371399189

020000

numeric1690999999

3.2

numeric919

99999

numeric26630099999

88888

numeric24340199999

99999.1

numeric25530099999

15

numeric49099

091

numeric2310121

1161

numeric3417519991

142

numeric259100999

60122.72

numeric2,68236155.9699199.99

0412

numeric2349915

12631

numeric1611019991

11

numeric2011

111

numeric60119

11111

numeric2011111

1.3

numeric309

0941885

numeric51110019951995

Unnamed: 43

numeric111

1.4

numeric313

9

numeric419

03

numeric13199

2018

numeric420179999

41092

numeric5020021145102

370622892

numeric6,350200210320999939999

063

numeric1211124

1.5

numeric309

111111

numeric20111111

00193GU

categorical11,18277

25094US

categorical52477

23055124 0

categorical1881010

3

categorical611

GU010

categorical1255

X1

categorical422

NN

categorical422

11X111111

categorical7199

NNNNN

categorical1355

1N1111

categorical8766

M

categorical211

NNNNNN

categorical3066

NYY1

categorical2544

N10000000000001111N1

text1552020

NNNNNN111111NXX111N00

text1202121

NNNNN111111

text171111

NNNYNN1111110

text631313

NNNNNN111111NNNNNN1111111

text262525