Dataset Viewer
COUNTRY
stringclasses 1
value | STATE
stringlengths 4
20
| COUNTY
stringlengths 4
20
| MAL_FREQ_2017
int64 5
101
| STATE_CODE_FIPS
int64 4
53
| COUNTY_CODE_FIPS
int64 1
510
| FIPS
int64 4.01k
53.1k
|
|---|---|---|---|---|---|---|
UNITED STATES | ARIZONA | MARICOPA | 20 | 4 | 13 | 4,013 |
UNITED STATES | COLORADO | ARAPAHOE | 8 | 8 | 5 | 8,005 |
UNITED STATES | COLORADO | DENVER | 6 | 8 | 31 | 8,031 |
UNITED STATES | CONNECTICUT | FAIRFIELD | 5 | 9 | 1 | 9,001 |
UNITED STATES | CONNECTICUT | HARTFORD | 10 | 9 | 3 | 9,003 |
UNITED STATES | CONNECTICUT | NEW HAVEN | 7 | 9 | 9 | 9,009 |
UNITED STATES | DISTRICT OF COLUMBIA | DISTRICT OF COLUMBIA | 19 | 11 | 1 | 11,001 |
UNITED STATES | FLORIDA | BROWARD | 8 | 12 | 11 | 12,011 |
UNITED STATES | FLORIDA | DADE | 9 | 12 | 25 | 12,025 |
UNITED STATES | FLORIDA | HILLSBOROUGH | 7 | 12 | 57 | 12,057 |
UNITED STATES | FLORIDA | LEON | 7 | 12 | 73 | 12,073 |
UNITED STATES | FLORIDA | OSCEOLA | 5 | 12 | 97 | 12,097 |
UNITED STATES | FLORIDA | PALM BEACH | 5 | 12 | 99 | 12,099 |
UNITED STATES | GEORGIA | CLAYTON | 5 | 13 | 63 | 13,063 |
UNITED STATES | GEORGIA | COBB | 8 | 13 | 67 | 13,067 |
UNITED STATES | GEORGIA | DEKALB | 20 | 13 | 89 | 13,089 |
UNITED STATES | GEORGIA | FULTON | 6 | 13 | 121 | 13,121 |
UNITED STATES | GEORGIA | GWINNETT | 20 | 13 | 135 | 13,135 |
UNITED STATES | ILLINOIS | COOK | 29 | 17 | 31 | 17,031 |
UNITED STATES | INDIANA | MARION | 9 | 18 | 97 | 18,097 |
UNITED STATES | IOWA | POLK | 7 | 19 | 153 | 19,153 |
UNITED STATES | KANSAS | JOHNSON | 5 | 20 | 91 | 20,091 |
UNITED STATES | KANSAS | SEDGWICK | 6 | 20 | 173 | 20,173 |
UNITED STATES | MAINE | CUMBERLAND | 11 | 23 | 5 | 23,005 |
UNITED STATES | MARYLAND | ANNE ARUNDEL | 10 | 24 | 3 | 24,003 |
UNITED STATES | MARYLAND | BALTIMORE | 23 | 24 | 5 | 24,005 |
UNITED STATES | MARYLAND | FREDERICK | 6 | 24 | 21 | 24,021 |
UNITED STATES | MARYLAND | HOWARD | 11 | 24 | 27 | 24,027 |
UNITED STATES | MARYLAND | MONTGOMERY | 70 | 24 | 31 | 24,031 |
UNITED STATES | MARYLAND | PRINCE GEORGE | 101 | 24 | 33 | 24,033 |
UNITED STATES | MARYLAND | BALTIMORE CITY | 16 | 24 | 510 | 24,510 |
UNITED STATES | MASSACHUSETTS | HAMPDEN | 5 | 25 | 13 | 25,013 |
UNITED STATES | MASSACHUSETTS | MIDDLESEX | 34 | 25 | 17 | 25,017 |
UNITED STATES | MASSACHUSETTS | PLYMOUTH | 5 | 25 | 23 | 25,023 |
UNITED STATES | MASSACHUSETTS | SUFFOLK | 15 | 25 | 25 | 25,025 |
UNITED STATES | MASSACHUSETTS | WORCESTER | 21 | 25 | 27 | 25,027 |
UNITED STATES | MICHIGAN | INGHAM | 5 | 26 | 65 | 26,065 |
UNITED STATES | MICHIGAN | KENT | 9 | 26 | 81 | 26,081 |
UNITED STATES | MICHIGAN | OAKLAND | 7 | 26 | 125 | 26,125 |
UNITED STATES | MICHIGAN | WASHTENAW | 5 | 26 | 161 | 26,161 |
UNITED STATES | MICHIGAN | WAYNE | 8 | 26 | 163 | 26,163 |
UNITED STATES | MINNESOTA | ANOKA | 5 | 27 | 3 | 27,003 |
UNITED STATES | MINNESOTA | HENNEPIN | 33 | 27 | 53 | 27,053 |
UNITED STATES | MINNESOTA | RAMSEY | 6 | 27 | 123 | 27,123 |
UNITED STATES | MISSOURI | ST. LOUIS | 5 | 29 | 189 | 29,189 |
UNITED STATES | NEW HAMPSHIRE | HILLSBOROUGH | 6 | 33 | 11 | 33,011 |
UNITED STATES | NEW JERSEY | BERGEN | 8 | 34 | 3 | 34,003 |
UNITED STATES | NEW JERSEY | BURLINGTON | 8 | 34 | 5 | 34,005 |
UNITED STATES | NEW JERSEY | ESSEX | 37 | 34 | 13 | 34,013 |
UNITED STATES | NEW JERSEY | HUDSON | 12 | 34 | 17 | 34,017 |
UNITED STATES | NEW JERSEY | MERCER | 11 | 34 | 21 | 34,021 |
UNITED STATES | NEW JERSEY | MIDDLESEX | 19 | 34 | 23 | 34,023 |
UNITED STATES | NEW JERSEY | UNION | 8 | 34 | 39 | 34,039 |
UNITED STATES | NEW YORK | ALBANY | 11 | 36 | 1 | 36,001 |
UNITED STATES | NEW YORK | BRONX | 91 | 36 | 5 | 36,005 |
UNITED STATES | NEW YORK | ERIE | 7 | 36 | 29 | 36,029 |
UNITED STATES | NEW YORK | KINGS | 50 | 36 | 47 | 36,047 |
UNITED STATES | NEW YORK | MONROE | 5 | 36 | 55 | 36,055 |
UNITED STATES | NEW YORK | NASSAU | 6 | 36 | 59 | 36,059 |
UNITED STATES | NEW YORK | NEW YORK | 42 | 36 | 61 | 36,061 |
UNITED STATES | NEW YORK | ONONDAGA | 10 | 36 | 67 | 36,067 |
UNITED STATES | NEW YORK | QUEENS | 33 | 36 | 81 | 36,081 |
UNITED STATES | NEW YORK | RICHMOND | 11 | 36 | 85 | 36,085 |
UNITED STATES | NEW YORK | SUFFOLK | 6 | 36 | 103 | 36,103 |
UNITED STATES | NEW YORK | WESTCHESTER | 8 | 36 | 119 | 36,119 |
UNITED STATES | NORTH CAROLINA | DURHAM | 8 | 37 | 63 | 37,063 |
UNITED STATES | NORTH CAROLINA | GUILFORD | 9 | 37 | 81 | 37,081 |
UNITED STATES | NORTH CAROLINA | MECKLENBURG | 6 | 37 | 119 | 37,119 |
UNITED STATES | NORTH CAROLINA | WAKE | 10 | 37 | 183 | 37,183 |
UNITED STATES | NORTH DAKOTA | CASS | 6 | 38 | 17 | 38,017 |
UNITED STATES | OHIO | CUYAHOGA | 12 | 39 | 35 | 39,035 |
UNITED STATES | OHIO | FRANKLIN | 19 | 39 | 49 | 39,049 |
UNITED STATES | OHIO | HAMILTON | 6 | 39 | 61 | 39,061 |
UNITED STATES | OHIO | MONTGOMERY | 7 | 39 | 113 | 39,113 |
UNITED STATES | OREGON | MULTNOMAH | 7 | 41 | 51 | 41,051 |
UNITED STATES | PENNSYLVANIA | ALLEGHENY | 8 | 42 | 3 | 42,003 |
UNITED STATES | PENNSYLVANIA | BERKS | 5 | 42 | 11 | 42,011 |
UNITED STATES | PENNSYLVANIA | DAUPHIN | 5 | 42 | 43 | 42,043 |
UNITED STATES | PENNSYLVANIA | DELAWARE | 20 | 42 | 45 | 42,045 |
UNITED STATES | PENNSYLVANIA | PHILADELPHIA | 30 | 42 | 101 | 42,101 |
UNITED STATES | RHODE ISLAND | PROVIDENCE | 10 | 44 | 7 | 44,007 |
UNITED STATES | SOUTH DAKOTA | MINNEHAHA | 6 | 46 | 99 | 46,099 |
UNITED STATES | TEXAS | AUSTIN | 12 | 48 | 15 | 48,015 |
UNITED STATES | TEXAS | BEXAR | 5 | 48 | 29 | 48,029 |
UNITED STATES | TEXAS | COLLIN | 7 | 48 | 85 | 48,085 |
UNITED STATES | TEXAS | DALLAS | 19 | 48 | 113 | 48,113 |
UNITED STATES | TEXAS | FORT BEND | 17 | 48 | 157 | 48,157 |
UNITED STATES | TEXAS | HARRIS | 9 | 48 | 201 | 48,201 |
UNITED STATES | TEXAS | HOUSTON | 35 | 48 | 225 | 48,225 |
UNITED STATES | TEXAS | TARRANT | 19 | 48 | 439 | 48,439 |
UNITED STATES | VIRGINIA | ARLINGTON | 5 | 51 | 13 | 51,013 |
UNITED STATES | VIRGINIA | FAIRFAX | 24 | 51 | 59 | 51,059 |
UNITED STATES | VIRGINIA | LOUDOUN | 8 | 51 | 107 | 51,107 |
UNITED STATES | VIRGINIA | PRINCE WILLIAM | 14 | 51 | 153 | 51,153 |
UNITED STATES | VIRGINIA | ALEXANDRIA CITY | 10 | 51 | 510 | 51,510 |
UNITED STATES | WASHINGTON | KING | 21 | 53 | 33 | 53,033 |
UNITED STATES | WASHINGTON | SNOHOMISH | 6 | 53 | 61 | 53,061 |
Number of Reported Malaria Cases by County— United States, 2017
Description
This dataset contains deidentified data from the National Malaria Surveillance System on the number of malaria cases reported in the United States in 2017, by county. Only counties reporting five or more cases are included in this dataset.
Dataset Details
- Publisher: Centers for Disease Control and Prevention
- Last Modified: 2020-07-27
- Contact: Kimberly E. Mace ([email protected])
Source
Original data can be found at: https://data.cdc.gov/d/puzh-5wax
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset('HHS-Official/number-of-reported-malaria-cases-by-county-united')
License
This dataset is licensed under https://www.usa.gov/government-works
- Downloads last month
- 40