Universal Zip Code Format Download Free

GeoNames is probably closest you can find of free worldwide postal codes and they are updated daily. The downside is that they are missing for alot of countries. Download United States ZIP Code Database (Gold Edition) - United States ZIP Codes Database Subscription in text, Excel, Access and dBASE V format.

Zip Code Universal Studios
Universal Zip Code Format Download Free Version
Zip Code Universal City
Universal Zip Code Format Download Free

Features: - Easy-to-use file manager - Familiar GUI like Windows Explorer - Browse, open, view and extract all kinds of archive files - Rar, Zip, 7z, Iso, Bzip2, Gzip, Pak, Tar, Xz and more supported - Create new Zip files that can be password-protected - Partial extraction Note: this app can only create new Zip format files but no other formats. The Universal Zip app is currently free to buy and download on Windows 10 Mobile and PC for one week. The app usually retails for $4.99 so it’s a worthy download if you ever think you might need a. Trusted Windows (PC) download Excel Zip Codes Convert, Lookup & Format Software 7.0. Virus-free and 100% clean download. Get Excel Zip Codes Convert, Lookup & Format Software alternative downloads.

This dataset represents an ongoing effort to approximate the geographic extents of 5 digit zip codes. The dataset was produced using a combination of methods and is based on several sets of source data. Methods include: 1) using local zip code polygon data obtained from counties and cities contained within these counties; 2 ) examining the 2000 Census TIGER line file's zip code attributes; and 3) using AGRC address grid quadrant boundaries to assign the zip code to segments within a boundary corresponding to a place location (city, town, places) from the postal service website and address information system (AIS). In addition, AGRC has used the locations of mailing addresses known to have valid zip codes to fine tune this dataset.

Access & Use Information

Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

Downloads & Resources

Original metadata record from dataset providerXML 1058 views
SGID10.BOUNDARIES.ZipCodes.xml
Link is broken
Downloadable File GeodatabaseZIP 994 views
ZipCodes_gdb.zip
0 out of 5Openness score
Downloadable ShapefileZIP 899 views
ZipCodes_shp.zip
Link is broken
Web Resource 1229 views
0 out of 5Openness score

Dates

Metadata Date	May 17, 2017
Metadata Created Date	August 19, 2017
Metadata Updated Date	August 19, 2017
Reference Date(s)	January 1, 2017 (publication)
Frequency Of Update	asNeeded

Metadata Source

ISO-19139 ISO-19139 Metadata
Download Metadata · View Full Metadata
FGDC Original FGDC Metadata
Download Original Metadata · View Original Full Metadata

Harvested from NSGIC GIS State HS

Additional Metadata

Contact Email
Resource Type	Dataset
Metadata Date	May 17, 2017
Metadata Created Date	August 19, 2017
Metadata Updated Date	August 19, 2017
Reference Date(s)	January 1, 2017 (publication)
Responsible Party	Utah Automated Geographic Reference Center (AGRC) (Point of Contact)
Access Constraints	Use Constraints: The Utah Automated Geographic Reference Center has adopted the following spatial data disclaimer to be explicitedly included or referenced in all geospatial data, mapping products, and services created or hosted at AGRC including the contents of State Geographic Information Database (SGID). 'This product is for informational purposes and may not have been prepared for, or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. AGRC provides these data in good faith and shall in no event be liable for any incorrect results, any lost profits and special, indirect or consequential damages to any party, arising out of or in connection with the use or the inability to use the data hereon or the services provided. AGRC shall not be held liable for any third party's interpretation of data provided by AGRC. AGRC provides these data and services as a convenience to the public. Furthermore, AGRC reserves the right to change or revise published data and/or these services at any time.' Furthermore, it is the official policy of the AGRC: - that the adopted disclaimer be used on all hard copy maps produced from geospatial data, and that the date and source of the data be included on the map; - that spatial data producers be allowed to extend the adopted disclaimer with additional language further defining the limits of their liability; - that a more robust disclaimer may be used in conjunction with any and all geospatial data published on the Internet, on a separate page preceding access to the data, with an accept/reject option for users; - that standardized metadata be included with any distribution of all geospatial data; and - that the disclaimer above may be used as a blanket disclaimer for documents containing a number of small maps., Access Constraints: None
Bbox East Long	-109.04094696
Bbox North Lat	42.00419617
Bbox South Lat	36.99863052
Bbox West Long	-114.05406952
Coupled Resource
Frequency Of Update	asNeeded
Guid
Harvest Object Id	b6a1115b-c7f1-4acc-9be0-7fa9649426b8
Harvest Source Id	ac0bed16-a1bb-478b-8faf-64ba8506b19e
Harvest Source Title	NSGIC GIS State HS
Licence	Although these data have been processed successfully on a computer system by the data steward, no warranty either expressed or implied is made regarding the utility of the data on any system, nor shall this notice generated by the NSGIC GIS Inventory System or the act of distribution constitute any such warranty. The data steward may have additional liability information associated with delivery or distribution of this product.
Metadata Language
Metadata Type	geospatial
Progress	completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester	True

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Latest version

Released:

USA zipcode programmable database, includes up-to-date census and geometry information.

Project description

Welcome to `uszipcode` Documentation

If you are on www.pypi.org or www.github.com, this is not the complete document. Here is the Complete Document.

uszipcode is the most powerful and easy to use programmable zipcode database in Python. It comes with a rich feature and easy-to-use zipcode search engine. And it is easy to customize the search behavior as you wish.

Data Points

From version 0.2.0, uszipcode use a more up-to-date database, and having a crawler running every week to collection different data points from multiple data source. And API in 0.2.X NOT COMPATIBLE with 0.1.X, please read Document for more information.

Address, Postal

zipcode
zipcode_type
major_city
post_office_city
common_city_list
county
state
area_code_list

Geography

lat
lng
timezone
radius_in_miles
land_area_in_sqmi
water_area_in_sqmi
bounds_west
bounds_east
bounds_north
bounds_south
border polygon

Stats and Demographics

population
population_density
population_by_year
population_by_age
population_by_gender
population_by_race
head_of_household_by_age
families_vs_singles
households_with_kids
children_by_age

Real Estate and Housing

housing_units
occupied_housing_units
median_home_value
median_household_income
housing_type
year_housing_was_built
housing_occupancy
vancancy_reason
owner_occupied_home_values
rental_properties_by_number_of_rooms
monthly_rent_including_utilities_studio_apt
monthly_rent_including_utilities_1_b
monthly_rent_including_utilities_2_b
monthly_rent_including_utilities_3plus_b

Employment, Income, Earnings, and Work

employment_status
average_household_income_over_time
household_income
annual_individual_earnings
sources_of_household_income____percent_of_households_receiving_income
sources_of_household_income____average_income_per_household_by_income_source
household_investment_income____percent_of_households_receiving_investment_income
household_investment_income____average_income_per_household_by_income_source
household_retirement_income____percent_of_households_receiving_retirement_incom
household_retirement_income____average_income_per_household_by_income_source
source_of_earnings
means_of_transportation_to_work_for_workers_16_and_over
travel_time_to_work_in_minutes

Education

educational_attainment_for_population_25_and_over
school_enrollment_age_3_to_17

Example Usage

NOTE:

uszipcode has two backend database, SimpleZipcode and Zipcode. Zipcode has more info, but the database file is 450MB (takes more time to download). SimpleZipcode doesn’t has all data points listed above, but the database file is smaller (9MB). By default uszipcode use SimpleZipcode. You can use this code to choose to use the rich info Zipcode:

From 0.2.4, uszipcodeallows developer to choose which directory you want to use to download the database file. By default, it is $HOME/.uszipcode, but you can easily change it.:

For example, AWS Lambda doesn’t allow to download file to $HOME directory, but allows to download to /tmp folder.

Examples:

Rich search methods are provided for getting zipcode in the way you want.

Fuzzy city name and state name search does not require developer to know the exact spelling of the city or state. And it is case, space insensitive, having high tolerance to typo. This is very helpful if you need to build a web app with it.

You can easily sort your results by any field, or distance from a coordinates if you query by location.

Deploy Uszipcode as a Web Service

If you want to build a private uszipcode API server you have two choice:

Use a VM like EC2 machine, and deploy a web api server with the machine.
(RECOMMEND) Dump the sqlite database to any relational database like Postgres, MySQL, and inject the database connection info in your application server.

In the feature release, I will provide an easy way that allow you to deploy uszipcode as a private web api service.

Thank you.

Install

uszipcode is released on PyPI, so all you need is:

Universal zip code format download free pdf reader

To upgrade to latest version:

Release historyRelease notifications | RSS feed

0.2.4

Zip Code Universal Studios

0.2.3

0.2.2

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1

0.0.9

0.0.8

0.0.7

0.0.6

0.0.1

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