{"id":18615,"date":"2018-05-13T22:18:08","date_gmt":"2018-05-13T20:18:08","guid":{"rendered":"https:\/\/www.mbi-geodata.com\/en\/mbi-supplier-manufacturer-worldwide-geodata\/north-america\/montserrat-admin-maps\/"},"modified":"2024-10-21T06:54:55","modified_gmt":"2024-10-21T06:54:55","slug":"montserrat-maps","status":"publish","type":"page","link":"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/north-america\/montserrat-maps\/","title":{"rendered":"Montserrat Admin Maps"},"content":{"rendered":"\n<div class=\"wp-block-cover alignfull\" style=\"min-height:270px;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-50 has-background-dim\"><\/span><img decoding=\"async\" class=\"wp-block-cover__image-background wp-image-10733\" alt=\"Purchasing power data and socio-demographic data can be displayed on a map of Montserrat using the following area boundaries: Parishes.\" src=\"https:\/\/www.mbi-geodata.com\/~images\/country-overview\/Montserrat_socio-demographics_purchasing-power_area-boundaries_MS.jpg\" style=\"object-position:53% 43%\" data-object-fit=\"cover\" data-object-position=\"53% 43%\"\/><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-85f0391 ugb-main-block\"><style>.ugb-85f0391 .ugb-heading__title{font-size:40px !important;text-transform:uppercase !important;text-align:center}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h1 class=\"ugb-heading__title\">Montserrat Purchasing Power, Socio-demographics &amp; Area Boundaries<\/h1><\/div><\/div><\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text alignwide is-stacked-on-mobile is-vertically-aligned-center is-image-fill\" style=\"grid-template-columns:31% auto\"><figure class=\"wp-block-media-text__media\" style=\"background-image:url(https:\/\/www.mbi-geodata.com\/~images\/socio-economics\/Montserrat_socioeconomic_data_MS.jpg);background-position:50% 50%\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/~images\/socio-economics\/Montserrat_socioeconomic_data_MS.jpg\" alt=\"Socio-demographic data, purchasing power data and area boundaries can be used to perform a variety of data analyses about Montserrat.\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-a22fa0a ugb-main-block\"><style>.ugb-a22fa0a .ugb-heading__title{font-size:32px !important;text-transform:uppercase !important}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\">Welcome to Montserrat&#8217;s Premier Source of Purchasing Power, Socio-demographics &amp; boundaries for Parishes<\/h2><\/div><\/div><\/div>\n\n\n\n<p>Discover a comprehensive suite of sociodemographic and purchasing power data for Montserrat from our extensive global data offering. Elevate your geomarketing, target group analyses, and location studies with our detailed insights. We provide accurate area boundaries (vector boundaries, polygons) with detailed, seamless coverage of the following areas: Parishes. Our data&#8217;s global consistency and comparability enable you to draw comparisons between Montserrat and any other country worldwide. Additionally, political risk data allows you to develop targeted adaptation strategies to increase your location, logistics and investment security.<\/p>\n\n\n\n<p>Tailored for professionals in location analysis, geomarketing, expansion planning, risk management, portfolio analysis, and statistical research, our data is accessible in all standard GIS formats and Excel. This data ensures you have the robust information needed for strategic decision-making to drive your sales and business forward and maximize ROI.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-heading ugb-heading ugb-f2272ce ugb-main-block\"><style>.ugb-f2272ce .ugb-heading__title{font-size:32px !important;text-transform:uppercase !important}@media screen and (min-width:768px){.ugb-f2272ce.ugb-heading{margin-top:50px !important;margin-bottom:0px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\">Data that can currently be licensed for Montserrat<\/h2><\/div><\/div><\/div>\n\n\n\n<p>Each attribute or geographical level can be licensed individually.<\/p>\n\n\n<div class=\"geodata__wrap\"><table class=\"geodata geodata_1\"><tbody><tr><th class=\"section-heading\" scope=\"row\" colspan=\"2\">Geographic level<\/th><\/tr><tr class=\"section1\"><th class=\"row-th\" scope=\"row\">Area level<\/th><th class=\"col-th\" scope=\"col\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/area-boundaries\/administrative-area-maps\/\" target=\"_blank\">Administrative<\/a><\/th><\/tr><tr class=\"section1\">\n<th class=\"row-th\"  scope=\"row\">Name<\/th><th class=\"col-th\" scope=\"col\">Parishes<\/th><\/tr><tr class=\"section1 section1_last\">\n<th class=\"row-th\" scope=\"row\">Number of areas<\/th><td>3<\/td><\/tr>\n<tr><th class=\"section-heading\" scope=\"row\" colspan=\"2\">Geometry<\/th><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/area-boundaries\/\" target=\"_blank\">Polygons<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><\/tr><tr><th class=\"section-heading\" scope=\"row\" colspan=\"2\">Data \/ Variables<\/th><\/tr><tr><th class=\"row-th\" scope=\"row\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/sociodemographic-data\/population\/\" target=\"_blank\">Population<\/a><\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><\/tr><tr><th class=\"row-th\" scope=\"row\">Daytime Population<\/th><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><\/tr>\n<\/tbody><\/table><\/div>\n<div class=\"geodata__wrap geodata__risk\"><table class=\"geodata geodata_4\"><tbody><tr><th class=\"section-heading\" scope=\"row\" colspan=\"5\">Risk Data<\/th><\/tr><tr class=\"section1\"><th class=\"row-th\" scope=\"row\"><\/th><th class=\"col-th\" scope=\"col\">Regions<\/th><th class=\"col-th\" scope=\"col\">SUSAFE basic<\/th><th class=\"col-th\" scope=\"col\">Calculated Trends<\/th><th class=\"col-th\" scope=\"col\">Conflict Insights<\/th><\/tr>\n<tr><th class=\"row-th\" scope=\"row\">Risk data<\/th><td>1<\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><td><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" xml:space=\"preserve\" viewBox=\"0 0 32 32\" width=\"32\" height=\"32\"><title>Yes\/Available<\/title><path fill=\"#28a745\" d=\"M16 4C9 4 4 9 4 16s5 12 12 12 12-5 12-12S23 4 16 4zm5 10-7 6-3-4v-2h1l3 3 5-5h1v2z\"\/><\/svg><\/td><\/tr>\n<\/tbody><\/table><\/div>\n\n\n\n\n<div class=\"wp-block-ugb-icon-list ugb-icon-list ugb-bf20e93 ugb-icon-list--v2 ugb-main-block\"><style>.ugb-bf20e93 li{--icon-size:25px !important;margin-bottom:8px !important}.ugb-bf20e93 li::before{width:25px !important;height:25px !important;background-image:url('data:image\/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAxOTAgMTkwIj48cG9seWdvbiBwb2ludHM9IjE3My44LDI4LjQgNjAuNCwxNDEuOCAxNS43LDk3LjIgNS4xLDEwNy44IDYwLjQsMTYzIDE4NC40LDM5IDE3My44LDI4LjQiLz48L3N2Zz4=')}.ugb-bf20e93 li:nth-child(1):before{background-image:url('data:image\/svg+xml;base64,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')}.ugb-bf20e93 li:nth-child(2):before{background-image:url('data:image\/svg+xml;base64,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')}.ugb-bf20e93 li ul{margin-bottom:8px !important}.ugb-bf20e93.ugb-icon-list ul{columns:1}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><ul><li>= available<\/li><li>= not available<\/li><\/ul><\/div><\/div><\/div>\n\n\n\n\n\n<div class=\"alignfull wp-block-ugb-columns ugb-columns ugb-8c45a04 ugb-columns--design-plain ugb-columns--columns-2 ugb-main-block ugb--has-custom-content-width ugb--has-custom-content-width-tablet ugb-main-block--inner-wide ugb--has-block-background ugb--has-background-overlay\"><style>.ugb-8c45a04 > .ugb-inner-block > .ugb-block-content > .ugb-columns__item{grid-template-columns:1.24fr 0.76fr !important}.ugb-8c45a04.ugb-columns{background-color:#000000;background-attachment:fixed;background-image:url(https:\/\/www.mbi-geodata.com\/p1\/wp-content\/uploads\/sites\/5\/2022\/05\/Globe_Background.jpg)}.ugb-8c45a04.ugb-columns > .ugb-inner-block{min-width:auto !important;max-width:1369px !important}.ugb-8c45a04.ugb-columns:before{background-color:#000000;opacity:0.3}@media screen and (min-width:768px){.ugb-8c45a04.ugb-columns{padding-top:20px !important;padding-right:20px !important;padding-bottom:20px !important;padding-left:20px !important}}@media screen and (max-width:1025px){.ugb-8c45a04.ugb-columns > .ugb-inner-block{min-width:auto !important;max-width:850px !important}}<\/style><div class=\"ugb-inner-block ugb-inner-block--wide\"><div class=\"ugb-block-content\"><div class=\"ugb-columns__item ugb-8c45a04-content-wrapper\">\n<div class=\"wp-block-ugb-column ugb-column ugb-8eb5f9d ugb-column--design-plain ugb-main-block\"><style>@media screen and (min-width:768px){.ugb-8eb5f9d > .ugb-inner-block > .ugb-block-content > *{padding-right:35px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-8eb5f9d-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-ugb-heading ugb-heading ugb-f18ce96 ugb-main-block\"><style>.ugb-f18ce96 .ugb-heading__title{font-size:32px !important;text-transform:uppercase !important;margin-bottom:30px !important}@media screen and (min-width:768px){.ugb-f18ce96.ugb-heading{padding-top:20px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\"><span style=\"color: #fff\" class=\"ugb-highlight\">Advantages of our administrative Boundaries<\/span><\/h2><\/div><\/div><\/div>\n\n\n\n<ul class=\"wp-block-list has-white-color has-text-color\">\n<li>Worldwide, seamless coverage of postal and administrative boundaries<\/li>\n\n\n\n<li>The layers are topographically correct and country borders fit seamlessly together without overlaps and gaps<\/li>\n\n\n\n<li>Data and areas can be easily combined in one layer thanks to a unique key, enabling cross-country analysis<\/li>\n\n\n\n<li>Constant updates guarantee a current data status<\/li>\n\n\n\n<li>The vintage compatibility between the boundaries and the Sociodemographic and Purchasing Power data is guaranteed<\/li>\n\n\n\n<li>Simple update by uniform layout of the layer names<\/li>\n\n\n\n<li>The higher-level area hierarchies are included with the boundary files<\/li>\n\n\n\n<li>Digital boundaries are in a vector format to allow visualization in any zoom levels<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-ugb-column ugb-column ugb-f1b0b82 ugb-column--design-plain ugb-main-block\"><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-column__item ugb-f1b0b82-column-wrapper\"><div class=\"ugb-column__content-wrapper\">\n<div class=\"wp-block-cover aligncenter\" style=\"padding-top:50px;padding-right:50px;padding-bottom:50px;padding-left:50px\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-very-dark-gray-background-color has-background-dim-100 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" src=\"https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/07\/lightbulb-1_icon-icons.com_56942.png\" alt=\"\" class=\"wp-image-9531\" style=\"width:100px;height:100px\"\/><\/figure><\/div>\n\n\n<div class=\"wp-block-ugb-heading ugb-heading ugb-a21a7bb ugb-main-block\"><style>.ugb-a21a7bb .ugb-heading__title{font-size:32px !important;font-weight:500 !important;text-transform:uppercase !important;text-align:center}.ugb-a21a7bb .ugb-inner-block{text-align:center}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><h2 class=\"ugb-heading__title\">Smart Combination<\/h2><\/div><\/div><\/div>\n\n\n\n<p>The territorial vintages of the worldwide area boundaries are compatible with our globally consistent and comparable socio-economic data. We offer you the best basis for well-founded and data-based decisions. If desired, we can integrate the data directly into our digital boundaries. So, you can load them directly into your system without any additional steps and use them immediately.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-font-size has-regular-font-size\"><a class=\"wp-block-button__link has-mbi-red-background-color has-background wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/p1\/sociodemographic-data\/\">Demographics<\/a><\/div>\n\n\n\n<div class=\"wp-block-button has-custom-font-size has-regular-font-size\"><a class=\"wp-block-button__link has-mbi-red-background-color has-background wp-element-button\" href=\"https:\/\/www.mbi-geodata.com\/p1\/purchasing-power\/\">Purchasing Power<\/a><\/div>\n<\/div>\n<\/div><\/div>\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"alignwide wp-block-ugb-image-box ugb-image-box ugb-5894c2b ugb-image-box--v4 ugb-image-box--columns-4 ugb-image-box--design-basic ugb-image-box--align-left ugb-main-block\"><style>.ugb-5894c2b .ugb-image-box__box{border-radius:0px !important}.ugb-5894c2b .ugb-image-box__item{height:300px !important;justify-content:flex-start !important}.ugb-5894c2b .ugb-image-box__item1 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/06\/nasa-Q1p7bh3SHj8-unsplash-1024x681.jpg)}.ugb-5894c2b .ugb-image-box__item2 .ugb-image-box__image{background-image:url(https:\/\/mbi.test-umgebung.de\/p1\/wp-content\/uploads\/sites\/5\/2021\/11\/61125ebea8d26_klein.jpg)}.ugb-5894c2b .ugb-image-box__item3 .ugb-image-box__image{background-image:url(https:\/\/www.mbi-geodata.com\/de\/wp-content\/uploads\/sites\/2\/2021\/05\/MBI-CONIAS-Einschaetzung-Politischer-Risiken-e1620724560386-1024x532.jpg)}.ugb-5894c2b .ugb-image-box__item4 .ugb-image-box__image{background-image:url(https:\/\/mbi.test-umgebung.de\/p1\/wp-content\/uploads\/sites\/5\/2021\/11\/artificial_intelligennce_pixabay-3_klein.jpg)}.ugb-5894c2b .ugb-image-box__item:hover .ugb-image-box__overlay-hover{opacity:0.7 !important}.ugb-5894c2b .ugb-image-box__title{font-size:20px !important;text-align:center !important;margin-bottom:20px !important}.ugb-5894c2b .ugb-inner-block{text-align:left}@media screen and (min-width:768px){.ugb-5894c2b.ugb-image-box{padding-right:0px !important;padding-left:0px !important}}<\/style><div class=\"ugb-inner-block\"><div class=\"ugb-block-content\"><div class=\"ugb-image-box__item ugb-image-box__item1 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"COUNTRY AVAILABILITY\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">COUNTRY AVAILABILITY<\/h4><\/div><p class=\"ugb-image-box__description\"><a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/europe\/\">Europe<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/north-america\/\">North America<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/south-america\/\">South America<\/a> | <a href=\"https:\/\/www.mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/asia\/\">Asia<\/a> | <a href=\"https:\/\/mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/oceania\/\">Oceania<\/a> | <a href=\"https:\/\/mbi-geodata.com\/p1\/mbi-supplier-manufacturer-worldwide-geodata\/africa\/\">Africa<\/a><\/p><\/div><\/div><div class=\"ugb-image-box__item ugb-image-box__item2 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"AREA BOUNDARIES\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">AREA BOUNDARIES<\/h4><\/div><p class=\"ugb-image-box__description\">\u2022  Postcode Level<br>\u2022  Administrative Area Level<br>\u2022  Small Area Level<br><br><a href=\"https:\/\/\/www.mbi-geodata.com\/p1\/area-boundaries\/\">&gt; LEARN MORE<\/a><\/p><\/div><a class=\"ugb-image-box__overlay-link\" href=\"https:\/\/\/www.mbi-geodata.com\/p1\/area-boundaries\/\" title=\"AREA BOUNDARIES\" aria-label=\"AREA BOUNDARIES\"><\/a><\/div><div class=\"ugb-image-box__item ugb-image-box__item3 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"DATA FORMATS\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">DATA FORMATS<\/h4><\/div><p class=\"ugb-image-box__description\">Tab delimited file (TXT) | KML | Access database (MDB) | Excel (xls) | Esri Shapefile (.shp) | Esri Geodatabase (.gdb) | MapInfo (.tab) | MapInfo MIF\/MID | more on request<\/p><\/div><\/div><div class=\"ugb-image-box__item ugb-image-box__item4 ugb-image-box__box\"><div class=\"ugb-image-box__box ugb-image-box__image-wrapper\"><div class=\"ugb-image-box__box ugb-image-box__image\" role=\"img\" aria-label=\"DATALINK API\"><\/div><\/div><div class=\"ugb-image-box__box ugb-image-box__overlay-hover\"><\/div><div class=\"ugb-image-box__content\"><div class=\"ugb-image-box__header\"><h4 class=\"ugb-image-box__title\">DATALINK API<\/h4><\/div><p class=\"ugb-image-box__description\">Easy access to a variety of MBI data<br>\u2022  Datalink Desktop<br>\u2022  Datalink Rest API<\/p><\/div><\/div><\/div><\/div><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Data that can currently be licensed for Montserrat Each attribute or geographical level can be licensed individually. = available = not available Advantages of our administrative Boundaries<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":17979,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-18615","page","type-page","status-publish","hentry"],"acf":[],"featured_image_urls_v2":{"full":"","thumbnail":"","medium":"","medium_large":"","large":"","1536x1536":"","2048x2048":"","mini":"","post-thumbnail":"","gform-image-choice-sm":"","gform-image-choice-md":"","gform-image-choice-lg":""},"post_excerpt_stackable_v2":"<p>Montserrat Purchasing Power, Socio-demographics &amp; Area Boundaries Welcome to Montserrat&#8217;s Premier Source of Purchasing Power, Socio-demographics &amp; boundaries for Parishes Discover a comprehensive suite of sociodemographic and purchasing power data for Montserrat from our extensive global data offering. Elevate your geomarketing, target group analyses, and location studies with our detailed insights. We provide accurate area boundaries (vector boundaries, polygons) with detailed, seamless coverage of the following areas: Parishes. Our data&#8217;s global consistency and comparability enable you to draw comparisons between Montserrat and any other country worldwide. Additionally, political risk data allows you to develop targeted adaptation strategies to increase your&hellip;<\/p>\n","category_list_v2":"","author_info_v2":{"name":"saasweb-admin","url":"https:\/\/www.mbi-geodata.com\/p1\/author\/saasweb-admin\/"},"comments_num_v2":"0 comments","_links":{"self":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/18615","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/comments?post=18615"}],"version-history":[{"count":1,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/18615\/revisions"}],"predecessor-version":[{"id":18738,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/18615\/revisions\/18738"}],"up":[{"embeddable":true,"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/pages\/17979"}],"wp:attachment":[{"href":"https:\/\/www.mbi-geodata.com\/p1\/wp-json\/wp\/v2\/media?parent=18615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}