Zip code 91911 statistics: (Find on map) Estimated zip code population in 2016: 85,449 Zip code population in 2010: 82,999 Zip code population in 2000: 71,124 Mar. 2016 cost of living index in zip code 91911: 132.5 (high, U.S. Average is 100) Land area: 11.7 sq. Water area: 0.2 sq. Jul 21, 2020 OK, I have been working on this for a while and here 'may' be a solution. If you already have a list of all the US Zip codes with City, State then you can go here Cities-DMA Regions and download the CSV file of DMA to Cities (16,236 records) and t. Alles what you do is enter a zip code, one radius in miles, and in seconds, a list of zip codes appears, the desktop is a standalone Windows application that performs multiple ZIP and ZIP search features such as data query, distance, and Store Locator in a simple interface as the radius falls.
Find Them Faster
PRIZM Premier combines demographic, consumer behavior, and geographic data to help marketers find and engage their customers and prospects.
Know Them Better
PRIZM Premier defines households with 68 demographically and behaviorally distinct segments discerning consumers’ likes, dislikes, lifestyles and purchase behaviors in a way that’s contextual and easy to communicate and activate.
Smarter Planning
PRIZM Premier segments summarize complex consumer profiles in a way that is intuitive and easy to communicate.
PRIZM Premier's 68 segments are defined according to socioeconomic rank, including characteristics such as income, education, occupation and home value as well as 11 Lifestage Groups and 14 Social Groups. PRIZM Premier Social Groups are based on urbanization and socioeconomic rank. PRIZM Premier Lifestage Groups are based on age, socioeconomic rank, and the presence of children at home.
With contextual insights from PRIZM Premier, marketers can craft advertising messaging to reach consumers based on virtually any purchase and media behavior.
Expand Your Reach
Purchase Behaviors Include:- Apparel
- Appliances
- Automotive
- Communications
- Consumer Package Goods
- Financial Services & Wealth
- Home Furnishings
- Media Usage
- Travel
- Technology
- TV
- Cable
- Internet
- Social
- Podcast
- Mobile
- Audio
Claritas PRIZM Premier Lifestage Groups
PRIZM Lifestage classifications provide a different way to look at groups of PRIZM Premier segments. While PRIZM Social Groups are based on both affluence and Claritas Urbanization, PRIZM Premier Lifestage Groups account for affluence and a combination of householder age and household composition.
Within three Lifestage classes—Younger Years, Family Life, and Mature Years—the 68 segments are further grouped into 11 Lifestage Groups. Each Lifestage Group's combination of the three variables—affluence, householder age, and presence of children at home together offer a more robust picture of the consumer. Yamaha yl1 manual.
Claritas PRIZM Premier Social Groups
The 14 Social Groups are based on Claritas urbanization class and affluence, two important and unique variables used in the creation of PRIZM Premier. There are four urbanization class categories—Urban, Suburban, Second City or Town & Rural. Within each of these categories, all the segments are then sorted into groups based on affluence, another powerful demographic tool when understanding consumer behavior and motivation.
-->Geographical locations data can be used to for Location Targeting e.g. show ads to people in a specific country/region, state/province, county, metro area (Nielsen DMA® in the United States), postal code, or city. You can call the GetGeoLocationsFileUrl operation to get a temporary file URL that can be used to download the latest geographical locations data. You can also get the locations data from the Microsoft Advertising Developer Portal. You must be signed in to the developer portal with a Microsoft account user who has Microsoft Advertising credentials.
Note
As a best practice you should download the file instead of opening it directly through an application such as Microsoft Excel. If you view the locations data in a text editor, be sure to use UTF-8 encoding instead of ANSI, otherwise some characters will not be displayed accurately.
For code examples that demonstrate how to download the geographical locations codes, see Geographical Locations Code Example.
Location Codes File Format
The comma separated value (CSV) file contains data organized in the following non-localized column headings. Only the Bing Display Name is localized depending on the file URL used above.
Important
Listing Of All Zip Codes In The State Of Pennsylvania
New columns may be added at any time, so your implementation must ignore unknown columns.
The order of locations is not guaranteed, so you should not take dependencies on any perceived column sort order or hierarchy.
File Format Version 2.0
Finding Zip Codes In Nielsen DMAs · Notes
If you specified Version as 2.0 when calling the GetGeoLocationsFileUrl operation, the following data is available in the downloaded file. Bing Ads API currently only supports file format version 2.0.
Column Name | Description |
---|---|
Location Id | The unique Microsoft Advertising system identifier for the location. You must use this value to set the location criterion. |
Bing Display Name | The optional name that you can use to display the locations data, for example to users of your application. Vertical bars are used to separate the location components from most to least specific. For example given Seattle|Washington|United States the most specific component is the city of Seattle within the state of Washington of the United States. Multiple location IDs can have the same display name. You must not use the display name for anything other than presentation, for example do not assume any hierarchy or take any dependencies on the display name. |
Location Type | Determines the location sub type (e.g., City, County, Country, MetroArea, PostalCode, or State) that corresponds to the Location Id column. Although rare it is possible the location type will change for a given location ID. |
Replaces | Reserved for future use to indicate which location or locations are replaced by the location in this row. |
Status | Indicates whether the location in this row is active, pending deprecation, or deprecated. - Active: You can target or exclude the location. - Pending Deprecation: The location is still used by the delivery engine for targeting or exclusions; however, the location will be deprecated within the next 30 days. - Deprecated: the location criterion is no longer used for targeting or exclusions. Deprecated location criteria can still be retrieved via the Bing Ads API e.g., GetCampaignCriterionsByIds, but you cannot add or update deprecated location criteria. Please consider calling the GetGeoLocationsFileUrl operation once or twice each month to determine if the contents of the file have changed e.g., status. You should not need to download the entire file unless the returned LastModifiedTimeUtc value has changed since the last time you synced the locations data. |
AdWords Location Id | The Google Ads location ID that matches closest to the Microsoft Advertising geographical location ID. You can use this for mapping Microsoft Advertising locations to the estimated Google Ads locations. This value is a heuristic estimate that can be used for mapping Google Ads and Microsoft Advertising geographical locations. |
Country Codes
In some contexts the API requires a country code string e.g., for the business address of an AdvertiserAccount object. The following country codes are supported by Microsoft Advertising.
Country Code | Country/Region Name |
---|---|
AF | Afghanistan |
AL | Albania |
DZ | Algeria |
AS | American Samoa |
AD | Andorra |
AO | Angola |
AI | Anguilla |
AQ | Antarctica |
AG | Antigua and Barbuda |
AR | Argentina |
AM | Armenia |
AW | Aruba |
AU | Australia |
AT | Austria |
AZ | Azerbaijan |
BS | Bahamas, The |
BH | Bahrain |
BD | Bangladesh |
BB | Barbados |
BY | Belarus |
BE | Belgium |
BZ | Belize |
BJ | Benin |
BM | Bermuda |
BT | Bhutan |
BO | Bolivia |
AN | Bonaire, Curaçao, Saba, Sint Eustatius, Sint Maarten |
BA | Bosnia and Herzegovina |
BW | Botswana |
BR | Brazil |
BN | Brunei |
BG | Bulgaria |
BF | Burkina Faso |
BI | Burundi |
CV | Cabo Verde |
KH | Cambodia |
CM | Cameroon |
CA | Canada |
KY | Cayman Islands |
CF | Central African Republic |
TD | Chad |
CL | Chile |
CN | China |
CX | Christmas Island |
CC | Cocos (Keeling) Islands |
CO | Colombia |
KM | Comoros |
CG | Congo |
CD | Congo (DRC) |
CK | Cook Islands |
CR | Costa Rica |
CI | Côte d'Ivoire |
HR | Croatia |
CY | Cyprus |
CZ | Czech Republic |
DK | Denmark |
DJ | Djibouti |
DM | Dominica |
DO | Dominican Republic |
EC | Ecuador |
EG | Egypt |
SV | El Salvador |
GQ | Equatorial Guinea |
ER | Eritrea |
EE | Estonia |
ET | Ethiopia |
FK | Falkland Islands (Islas Malvinas) |
FO | Faroe Islands |
FJ | Fiji Islands |
FI | Finland |
FR | France |
GF | French Guiana |
PF | French Polynesia |
GA | Gabon |
GM | Gambia, The |
GE | Georgia |
DE | Germany |
GH | Ghana |
GI | Gibraltar |
GR | Greece |
GL | Greenland |
GD | Grenada |
GP | Guadeloupe |
GU | Guam |
GT | Guatemala |
GN | Guinea |
GW | Guinea-Bissau |
GY | Guyana |
HT | Haiti |
HN | Honduras |
HK | Hong Kong SAR |
HU | Hungary |
IS | Iceland |
IN | India |
ID | Indonesia |
IQ | Iraq |
IE | Ireland |
IL | Israel |
IT | Italy |
JM | Jamaica |
JP | Japan |
JO | Jordan |
KZ | Kazakhstan |
KE | Kenya |
KI | Kiribati |
KR | Korea |
KW | Kuwait |
KG | Kyrgyzstan |
LA | Laos |
LV | Latvia |
LB | Lebanon |
LS | Lesotho |
LR | Liberia |
LY | Libya |
LI | Liechtenstein |
LT | Lithuania |
LU | Luxembourg |
MO | Macao SAR |
MK | Macedonia, Former Yugoslav Republic of |
MG | Madagascar |
MW | Malawi |
MY | Malaysia |
MV | Maldives |
ML | Mali |
MT | Malta |
MH | Marshall Islands |
MQ | Martinique |
MR | Mauritania |
MU | Mauritius |
YT | Mayotte |
MX | Mexico |
FM | Micronesia |
MD | Moldova |
MC | Monaco |
MN | Mongolia |
ME | Montenegro |
MS | Montserrat |
MA | Morocco |
MZ | Mozambique |
MM | Myanmar |
NA | Namibia |
NR | Nauru |
NP | Nepal |
NL | Netherlands |
NC | New Caledonia |
NZ | New Zealand |
NI | Nicaragua |
NE | Niger |
NG | Nigeria |
NU | Niue |
NF | Norfolk Island |
MP | Northern Mariana Islands |
NO | Norway |
OM | Oman |
PK | Pakistan |
PW | Palau |
PS | Palestinian Authority |
PA | Panama |
PG | Papua New Guinea |
PY | Paraguay |
PE | Peru |
PH | Philippines |
PN | Pitcairn Islands |
PL | Poland |
PT | Portugal |
PR | Puerto Rico |
QA | Qatar |
RE | Reunion |
RO | Romania |
RU | Russia |
RW | Rwanda |
SH | Saint Helena |
KN | Saint Kitts and Nevis |
LC | Saint Lucia |
PM | Saint Pierre and Miquelon |
VC | Saint Vincent and the Grenadines |
WS | Samoa |
SM | San Marino |
ST | Sao Tomé and Príncipe |
SA | Saudi Arabia |
SN | Senegal |
RS | Serbia |
SC | Seychelles |
SL | Sierra Leone |
SG | Singapore |
SK | Slovakia |
SI | Slovenia |
SB | Solomon Islands |
SO | Somalia |
ZA | South Africa |
ES | Spain |
LK | Sri Lanka |
SR | Suriname |
SZ | Swaziland |
SE | Sweden |
CH | Switzerland |
TW | Taiwan |
TJ | Tajikistan |
TZ | Tanzania |
TH | Thailand |
TL | Timor-Leste |
TG | Togo |
TK | Tokelau |
TO | Tonga |
TT | Trinidad and Tobago |
TN | Tunisia |
TR | Turkey |
TM | Turkmenistan |
TC | Turks and Caicos Islands |
TV | Tuvalu |
UG | Uganda |
UA | Ukraine |
AE | United Arab Emirates |
GB | United Kingdom |
US | United States |
UY | Uruguay |
UZ | Uzbekistan |
VU | Vanuatu |
VA | Vatican City |
VE | Venezuela |
VN | Vietnam |
VG | Virgin Islands, British |
VI | Virgin Islands, U.S. |
WF | Wallis and Futuna |
YE | Yemen |
ZM | Zambia |
ZW | Zimbabwe |