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World Premium Points of Interest - Consumer Edition Version 4.3 Release Notes The World Premium Points of Interest - Consumer Edition (WPPOI-CSMR) contains the rich set of consumer focused Points of Interest available in the Pitney Bowes' World Premium Points of Interest dataset.pitney Bowes is committed to ongoing enhancements to this industry leading database to serve our customers' needs. Our roadmap is designed to continually maintain and improve the product so our customers can derive the highest value for their consumer services. This document contains information about the Version 4.3 WPPOI - Consumer edition dataset. Additional information on all Pitney Bowes Software products is located on our support site. Complete documentation is located at our support site. Contents: Product Overview 2 POI Counts 2 Change Log 6 Known Issues 7 UNITED STATES www.pitneybowes.com/us Technical Support: http:// www.pbinsight.com/support 2014-2017 Pitney Bowes Software Inc. All Rights Reserved.

Product Overview The World Premium Points of Interest Consumer Edition (WPPOI - CSMR) dataset provides information on the location of, and details relating to, a diverse set of consumer focused businesses, leisure hot spots and geographic features. The locational accuracy of this data has been further enhanced using Pitney Bowes Premium Spectrum Enterprise Geocoding solution to provide the most accurate location available for each Point of Interest. Some of the feature of the WPPOI - CSMR product are: Focused selection of POIs that concentrate on businesses, landmarks, and services relevant to consumers. Drawn from the largest, globally geo-referenced POI dataset. The POIs are geocoded using Pitney Bowes comprehensive Global Geocoding capabilities. The POIs are classified using both the Pitney Bowes MiCode (providing a consumer-friendly classification across products) and the Standard Industrial Classification (SIC) culdoscopies note that both these classifications are cross-referenced. The individual POI in the dataset have hierarchical relationships between themselves and others in their family. The taxonomy ensures ease of use and global consistency. The dataset enables users to make informed decisions around access to services, retail or recreational facilities, ideal for location based marketing and find my nearest searches. POI Counts COUNTRY BUNDLES COUNTRIES ISO3 POI Counts Albania Albania ALB 2,360 Algeria Algeria** DZA 34,925 Angola Angola AGO 39,912 Argentina Argentina ARG 2,551,009 Australia Australia AUS 758,896 Austria Austria AUT 416,465 Bahrain Bahrain BHR 10,059 Belarus Belarus** BLR 306 Belgium & Luxembourg Belgium BEL 1,152,610 Belgium & Luxembourg Luxembourg LUX 83,314 Benin Benin BEN 6,106 Bosnia & Herzegovina Bosnia & Herzegovina** BIH 1,409 Botswana Botswana BWA 10,942 Brazil Brazil BRA 6,220,462 Brunei Brunei** BRN 6,648 Bulgaria Bulgaria** BGR 9,067 Burkina Faso Burkina Faso BFA 12,162 Burundi Burundi BDI 2,033 Cameroon Cameroon CMR 19,743 Canada Canada CAN 1,441,835 Chile Chile CHL 112,980 China China CHN 3,628,992 Colombia Colombia** COL 97,286 Congo Congo COG 6,107 WPPOI_CSMR - Version 4.3 2

COUNTRY BUNDLES COUNTRIES ISO3 POI Counts Costa Rica Costa Rica** CRI 38,577 Croatia Croatia HRV 66,916 Cyprus Cyprus CYP 47,138 Czech Republic Czech Republic CZE 659,211 Democratic Republic of Congo Democratic Republic of Congo** COD 15,701 Denmark Denmark DNK 424,954 Egypt Egypt EGY 43,063 El Salvador El Salvador** SLV 17,123 Estonia Estonia EST 96,900 Finland Finland FIN 306,890 France Guadeloupe GLP 20,655 France Mayotte** MYT 527 France Reunion REU 28,023 France France FRA 2,440,985 France Monaco MCO 1,695 France Martinique MTQ 18,210 France French Guiana GUF 4,396 France Saint-Barthélemy** BLM 2 France Saint-Martin** MAF 2 Gabon Gabon GAB 5,163 Germany Germany DEU 2,985,919 Ghana Ghana GHA 23,421 Great Britain Great Britain GBR 2,492,163 Greece Greece GRC 426,675 Guatemala Guatemala** GTM 28,695 Honduras Honduras** HND 8,277 Hong Kong Hong Kong HKG 175,549 Hungary Hungary HUN 255,117 Iceland Iceland ISL 69,682 India India IND 6,226,341 Indonesia Indonesia IDN 158,613 Iraq Iraq IRQ 1,358 Ireland Ireland IRL 179,745 Italy Italy ITA 3,565,915 Italy Vatican City** VAT 2 Italy San Marino SMR 1,316 Japan Japan JPN 2,430,494 Jordan Jordan** JOR 29,804 Kenya Kenya KEN 13,725 Kosovo Kosovo** XKS 301 Kuwait Kuwait KWT 4,684 Latvia Latvia LVA 143,782 Lebanon Lebanon LBN 13,049 Lesotho Lesotho LSO 5,723 WPPOI_CSMR - Version 4.3 3

COUNTRY BUNDLES COUNTRIES ISO3 POI Counts Lithuania Lithuania LTU 53,431 Macau Macau MAC 5,696 Macedonia Macedonia** MKD 1,861 Malawi Malawi MWI 18,294 Malaysia Malaysia MYS 55,047 Mali Mali MLI 15,422 Malta Malta MLT 38,329 Mauritania Mauritania MRT 2,829 Mauritius Mauritius MUS 3,678 Mexico Mexico MEX 612,812 Minor Americas Anguilla** AIA 3 Minor Americas Aruba** ABW 3 Minor Americas Antigua And Barbuda** ATG 4 Minor Americas Bahamas** BHS 73 Minor Americas Barbados** BRB 100 Minor Americas Bermuda** BMU 242 Minor Americas Cuba** CUB 350 Minor Americas Cayman Islands** CYM 39 Minor Americas Dominica** DMA 107 Minor Americas Dominican Republic** DOM 3,436 Minor Americas Grenada** GRD 129 Minor Americas Haiti** HTI 7 Minor Americas Jamaica** JAM 74 Minor Americas Saint Lucia** LCA 12 Minor Americas Montserrat** MSR 3 Minor Americas Saint Kitts And Nevis** KNA 59 Minor Americas Turks And Caicos Islands** TCA 12 Minor Americas Trinidad And Tobago** TTO 33 Minor Americas Saint Vincent And The Grenadines** VCT 6 Minor Americas British Virgin Islands** VGB 11 Minor Americas Saint-Barthélemy BLM 2 Minor Americas Saint-Martin MAF 2 Moldova Moldova** MDA 220 Montenegro Montenegro MNE 17,118 Morocco Morocco MAR 139,608 Mozambique Mozambique MOZ 15,764 Namibia Namibia NAM 37,090 Netherlands Bonaire, Sint Eustatius And Saba** BES 5 Netherlands Curaçao** CUW 1 Netherlands Netherlands NLD 690,278 Netherlands Sint Marten** SXM 4 New Zealand New Zealand NZL 293,724 Nicaragua Nicaragua** NIC 10,408 Niger Niger NER 19,708 WPPOI_CSMR - Version 4.3 4

COUNTRY BUNDLES COUNTRIES ISO3 POI Counts Nigeria Nigeria NGA 9,153 Norway Norway NOR 458,938 Oman Oman OMN 3,917 Panama Panama** PAN 8,925 Peru Peru** PER 102,942 Philippines Philippines PHL 245,910 Poland Poland POL 1,754,289 Portugal Portugal PRT 408,230 Qatar Qatar QAT 3,486 Romania Romania ROU 770,585 Russia Russia RUS 1,423,122 Rwanda Rwanda RWA 11,382 Saudi Arabia Saudi Arabia SAU 92,800 Senegal Senegal SEN 14,175 Serbia Serbia** SRB 25,177 Singapore Singapore SGP 118,973 Slovakia Slovakia SVK 202,815 Slovenia Slovenia SVN 81,153 South Africa South Africa ZAF 464,167 Spain Gibraltar** GIB 17 Spain Spain ESP 2,391,188 Spain Andorra AND 1,413 Swaziland Swaziland SWZ 3,071 Sweden Sweden SWE 849,037 Switzerland Liechtenstein LIE 1,915 Switzerland Switzerland CHE 315,938 Taiwan Taiwan TWN 136,284 Tanzania Tanzania TZA 21,171 Thailand Thailand THA 366,800 Togo Togo TGO 4,972 Tunisia Tunisia TUN 124,802 Turkey Turkey TUR 658,858 Uganda Uganda UGA 7,013 Ukraine Ukraine UKR 366,442 United Arab Emirates United Arab Emirates ARE 27,238 United States of America United States Of America USA 14,588,770 Uruguay Uruguay URY 3,183 Venezuela Venezuela** VEN 333 Vietnam Vietnam** VNM 576,260 Yemen Yemen YEM 2,392 Zambia Zambia ZMB 10,301 Zimbabwe Zimbabwe ZWE 12,600 Cumulative 68,808,280 WPPOI_CSMR - Version 4.3 5

** Business data coverage is limited in 49 countries. Pitney Bowes understands that Australia has a significant volume of businesses that are self-employed, single operator, SOHO style businesses which are difficult to both monitor and ensure they are in business. Pitney Bowes is actively reviewing these businesses and will include those that we can positively identify as being in business. However, we believe focusing on businesses with employees that will provide our clients the most significant points of interest for their use cases, applications and business success. Australia World Premium Points of interests is built to ensure we include businesses that employ 1 or more people, this ensures that Pitney Bowes provides a product that covers a business universe which contributes 85% of Australia's economic output. Change Log Parent_address, domestic_address, global_ultimate_address formats have been standardized to reflect the standard address format for the particular country. Significant improvement in the geographic accuracy for USA, Canada, Great Britain and New Zealand. Improve Brand name standardization and has been Standardised for respective countries: Country Brandname Counts Australia 209 Canada 209 Great Britain 540 United States Of America 1,964 For detail view click here WPPOI_CSMR - Version 4.3 6

Known Issues There are some known issues with the source data. We will strive to address these issues in subsequent releases in a timely fashion. Please contact Technical Support with any questions you may have. This section covers known issues and behaviors that require further explanation: Some invalid values exist in the TradeName and Postcode column including instances where the TradeName is populated as single character and the Postcode column has some values as zeroes. Some invalid values exist in Name, areaname1, areaname2 and areaname3 columns. Some diacritics are missing from the Name, TradeName, formattedaddress, mainaddressline, addresslastline, areaname1 and areaname3 columns. Some duplicates may be encountered in the dataset. There are a few instances of text truncation exist for the Name, TradeName, Business_Line, areaname3, formattedaddress, mainaddressline, Http, Email and areaname2 columns. There are a few instances where the Employee_Here (number of employees at the current location) count mismatches the Employee_count (total number of employees). There are a few instances that have inconsistent Status_Code and Subsidiary_Indicator mapping. The Email, Http, Ticker_symbol, and Exchange_Name columns are not populated for many countries. The SIC8 (code) descriptions are undergoing updates. As a result, some values may not have any or updated description(s) and may have been removed. The administrative layer names of countries are not standardized. As a result, some areaname4 values may be blank. There are a few instances where different variations of the same name are encountered in the areaname1 column. There are few mismatches in areaname1 and Stabb field as areaname1 is not necessarily the highest hierarchical administrative region, whereas, Stabb field is the highest available administrative region. Mainaddressline and formattedaddress are not standardized in few records. There are a few instances where House number / Street Name is appearing twice in mainaddressline. There are a few instances where the areaname3 is populated with the name of a different admin level. WPPOI_CSMR - Version 4.3 7