Weather Source: OnPoint Climatology | Statistics of Weather | Global Coverage, Hourly/ Daily Format product image in hero

Weather Source: OnPoint Climatology | Statistics of Weather | Global Coverage, Hourly/ Daily Format

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Sign In To Preview Data
Data Quality
100%
gap-free and error corrected
Avail. Formats
.bin, .json, and .xml
File
Coverage
248
Countries

Data Dictionary

[Sample] climatology-postalcode-day.csv
Attribute Type Example Mapping
String WC2N 5DN Location ID
String GB Country Name
Integer 1 Latitude-Longitude
Float 36.2 Latitude-Longitude
Float 6.5 Latitude-Longitude
Float 40.6 Latitude-Longitude
Float 6.5 Latitude-Longitude
Float 44.8 Latitude-Longitude
Float 6.2 Latitude-Longitude
Float 35.3 Latitude-Longitude
Float 6.5 Latitude-Longitude
Float 39.4 Latitude-Longitude
Float 6.5 Latitude-Longitude
Float 43.2 Latitude-Longitude
Float 6.5 Latitude-Longitude
Float 33.7 Latitude-Longitude
Float 7.1 Latitude-Longitude
Float 37.8 Latitude-Longitude
Float 6.9 Latitude-Longitude
Float 41.8 Latitude-Longitude
Float 7.2 Latitude-Longitude
Float 29.4 Latitude-Longitude
Float 7.5 Latitude-Longitude
Float 34.3 Latitude-Longitude
Float 7.3 Latitude-Longitude
Float 39.2 Latitude-Longitude
Float 6.9 Latitude-Longitude
Float 82.0 Latitude-Longitude
Float 9.0 Latitude-Longitude
Float 90.0 Latitude-Longitude
Float 5.0 Latitude-Longitude
Float 95.2 Latitude-Longitude
Float 3.0 Latitude-Longitude
Float 4.2 Latitude-Longitude
Float 1.1 Latitude-Longitude
Float 5.0 Latitude-Longitude
Float 1.3 Latitude-Longitude
Float 5.8 Latitude-Longitude
Float 1.5 Latitude-Longitude
Float 1003.5 Latitude-Longitude
Float 14.1 Latitude-Longitude
Float 1007.7 Latitude-Longitude
Float 12.9 Latitude-Longitude
Float 1011.8 Latitude-Longitude
Float 11.9 Latitude-Longitude
Float 1011.1 Latitude-Longitude
Float 14.2 Latitude-Longitude
Float 1015.2 Latitude-Longitude
Float 13.1 Latitude-Longitude
Float 1019.3 Latitude-Longitude
Float 12.0 Latitude-Longitude
Float 7.5 Latitude-Longitude
Float 4.1 Latitude-Longitude
Float 11.9 Latitude-Longitude
Float 4.8 Latitude-Longitude
Float 16.7 Latitude-Longitude
Float 6.8 Latitude-Longitude
Float 241 Latitude-Longitude
Float 245 Latitude-Longitude
Float 245 Latitude-Longitude
Float 0.19 Latitude-Longitude
Float 39 Latitude-Longitude
Float 0.18 Latitude-Longitude
Float 61 Latitude-Longitude
Float 18 Latitude-Longitude
Float 9 Latitude-Longitude
Float 7 Latitude-Longitude
Float 4 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0.68 Latitude-Longitude
Float 1 Latitude-Longitude
Float 0.16 Latitude-Longitude
Float 99 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0 Latitude-Longitude
Float 0.8 Latitude-Longitude
Float 0.3 Latitude-Longitude
Float 45 Latitude-Longitude
Float 39 Latitude-Longitude
Float 76 Latitude-Longitude
Float 26 Latitude-Longitude
Float 96 Latitude-Longitude
Float 15 Latitude-Longitude
Float 0.0 Latitude-Longitude
Float 0.0 Latitude-Longitude
Float 23.4 Latitude-Longitude
Float 14.5 Latitude-Longitude
Float 132.5 Latitude-Longitude
Float 76.8 Latitude-Longitude
Float 561.0 Latitude-Longitude
Float 346.9 Latitude-Longitude
Product Attributes
Attribute Type Example Mapping
String 42.774869, -71.249257 Latitude-Longitude
Designated Market Areas (DMAs)
Detroit, Michigan, 505
String 03079 ZIP Code
OnPoint IDs
6057677 - Madeira Island, Portugal

Description

OnPoint Climatology is the statistical representation of weather over time and Weather Source possesses the most accurate and robust Climatology Data on the market.
provides the mean, standard deviation, and other statistics that collectively describe the typical or normal weather for a location and time of the year. OnPoint Climatology can be used to quantify what to expect for weather at locations of interest and specific times of the year. It is also a very powerful baseline and context tool and can also be used to understand how recent conditions or forecasted conditions may be departing from normal (i.e., weather anomalies) and statistically how rare or unusual the weather anomalies are. Climatology also has frequency of occurrence data which will provide information such as how many unique instances of snow or rain and how much total rain or snowfall to expect during average or normal conditions.

Country Coverage

Africa (58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia (51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America (13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania (25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other (8)
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America (42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

Pricing

Free sample available
5% discount if you buy via Datarade
License Starts at
One-off purchase Not available
Monthly License Available
Yearly License Available
Usage-based Available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
gap-free and error corrected

Delivery

Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
secondly
minutely
hourly
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.bin
.json
.xml
.csv
.xls
.sql
.txt

Use Cases

Climate Analytics
Climate Modeling
Business Intelligence (BI)
Analytics

Categories

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Frequently asked questions

What is Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format?

OnPoint Climatology is the statistical representation of weather over time and Weather Source possesses the most accurate and robust Climatology Data on the market.

What is Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format used for?

This product has 4 key use cases. Weather Source recommends using the data for Climate Analytics, Climate Modeling, Business Intelligence (BI), and Analytics. Global businesses and organizations buy Climate Data from Weather Source to fuel their analytics and enrichment.

Who can use Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Climate Data. Get in touch with Weather Source to see what their data can do for your business and find out which integrations they provide.

Which countries does Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format cover?

This product includes data covering 248 countries like USA, China, Japan, Germany, and India. Weather Source is headquartered in United States of America.

How much does Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format cost?

Pricing information for Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format is available by getting in contact with Weather Source. Connect with Weather Source to get a quote and arrange custom pricing models based on your data requirements.

How can I get Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format?

Businesses can buy Climate Data from Weather Source and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, Weather Source can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format?

Weather Source has reported that this product has the following quality and accuracy assurances: 100% gap-free and error corrected. You can compare and assess the data quality of Weather Source using Datarade’s data marketplace. Weather Source appears on selected Datarade top lists ranking the best data providers, including Best 4 Temperature APIs for Reliable Temperature Data, Best 7+ Historical Weather APIs for Reliable Weather Data, and June Provider Spotlight.

What are similar products to Weather Source: OnPoint Climatology Statistics of Weather Global Coverage, Hourly/ Daily Format?

This product has 3 related products. These alternatives include CustomWeather API Historical Weather Data Climate Data Hourly And Daily 8,500 Global Weather Stations Archived Back To The 1940s, Weather Source: OnPoint Historical Weather Data 2000 - Present Global Coverage, Hourly/ Daily Format, and Global Weather Data Weather Data API Historical Weather Data Real-Time Weather Data Free Data Sample Available. You can compare the best Climate Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Not available
Monthly License Available
Yearly License Available
Usage-based Available