Kiva Confections Retailers
Worldwide: 2 countries (4,622 US) · 4,623 locations

4,623 stores that carry Kiva Confections (4,622 in the US): every store on Kiva Confections' own store locator on kivaconfections.com.

More about this list

Name, address, phone, website and the locator's own store details.

4,623Locations
25States
46Data Fields
October 16, 2026File built

The file has all 4,623 locations across 25 states in one download. Building the same list by searching one area at a time tends to miss places, and a missed place looks like a gap in coverage that is not really there.

Need just some of them? Ask in your own words.

●Where the rows are

Map of where the Kiva Confections Retailers are
One dot for every ZIP code with at least one location. Ask above for any part of it: a state, a city, a distance.

≡Sample Data Preview

kiva-confections-retailers.csvscroll →UTF-8
store nameaddresscitystatezipphonewebsitebrandstore idphone sourcewebsite sourcestore typestatusdirections urlbrand locator store idbrand locator urlbrand locator addressupdated datestockist filtersstockist filter idsstockist custom field idscustom google mapssrc priorityplace from map pointis chainchain namechain store countoverture place idoverture nameoverture categoryoverture brandoverture match metersnaics codenaics titlesic codesic titleindustry sourcegeo precisioncountycounty fipscounty noteaddress qualitycountrylatitudelongitudesource
Royal Cloudz Smoke Shop - Chelsea16641 U.S. 280ChelseaAL35043Kiva Confectionsu24147-loc_g2eqqw27Hemp Store | Camino GummiesListedhttps://www.google.com/maps/dir/?api=1&destination=33.347642,-86.630131loc_g2eqqw27https://www.kivaconfections.com/find-us16641 U.S. 280, Chelsea, AL 350432026-10-16Hemp Store | Camino Gummiesflt_zp48kn8p | flt_y3mgrwy3Google Maps=fld_y795m557https://www.google.com/maps/search/?api=1&query=33.3477403%2C-86.6301578&query_place_id=ChIJ7X21BsE_iYgRad-Zu930e5A0NsourceShelby County01117completeUS33.347642-86.630131Kiva Confections store locator
Ayr - Sarasota2067 Siesta DriveSarasotaFL34239Kiva Confectionsu24147-loc_exn99envCamino Gummies | Lost Farm Gummies | Petra MintsListedhttps://www.google.com/maps/dir/?api=1&destination=27.30314473,-82.52861352loc_exn99envhttps://www.kivaconfections.com/find-us2067 Siesta Drive, Sarasota, FL 342392026-10-16Camino Gummies | Lost Farm Gummies | Petra Mintsflt_y3mgrwy3 | flt_qp6r5x5p | flt_2p8zxq6pGoogle Maps=fld_y795m557https://www.google.com/maps/search/?api=1&query=27.3029326%2C-82.52846926&query_place_id=ChIJlYTvr-ZBw4gRd3NO9eZYNJ40YAyr65sourceSarasota County12115completeUS27.30314473-82.52861352Kiva Confections store locator
High Profile - Ironwood100 West Cloverland DriveIronwoodMI49938(906) 767-0994https://highprofilecannabis.com/shop/ironwoodKiva Confectionsu24147-loc_576996gnOverture Maps placeOverture Maps placeCamino Chews | Camino Gummies | Camino Sours | Kiva Bars | Lost Farm Chews | Lost Farm Gummies | Terra Bites | Petra MintsListedhttps://www.google.com/maps/dir/?api=1&destination=46.46362761,-90.17304148loc_576996gnhttps://www.kivaconfections.com/find-us100 West Cloverland Drive, Ironwood, MI 499382026-10-16Camino Chews | Camino Gummies | Camino Sours | Kiva Bars | Lost Farm Chews | Lost Farm Gummies | Terra Bites | Petra Mintsflt_9p5r8mn3 | flt_y3mgrwy3 | flt_43xzjq63 | flt_2pzq5yv3 | flt_7pk8r443 | flt_qp6r5x5p | flt_63rw7j4p | flt_2p8zxq6pGoogle Maps=fld_y795m557https://www.google.com/maps/search/?api=1&query=46.4635456%2C-90.1724911&query_place_id=ChIJ2Y2f5KfpqVIRLvb0cTvf7Rk0YHigh Profile43db3a8f62-4e1d-48c7-b750-eae8b33e95f1High Profile of Ironwood Dispensarycannabis_dispensary3459991Tobacco, Electronic Cigarette, and Other Smoking Supplies Retailers5999Miscellaneous Retail Stores, NECOverture category of the matched placesourceGogebic County26053completeUS46.46362761-90.17304148Kiva Confections store locator
MED LEAF LLC201 Philadelphia AveEgg Harbor CityNJ08215(609) 616-0420http://www.medleafdispensary.com/Kiva Confectionsu24147-loc_exn99jevOverture Maps placeOverture Maps placeCamino Gummies | Camino Sours | Lost Farm GummiesListedhttps://www.google.com/maps/dir/?api=1&destination=39.53036477,-74.64621223loc_exn99jevhttps://www.kivaconfections.com/find-us201 Philadelphia Ave, Egg Harbor City, NJ 082152026-10-16Camino Gummies | Camino Sours | Lost Farm Gummiesflt_y3mgrwy3 | flt_43xzjq63 | flt_qp6r5x5pGoogle Maps=fld_y795m557https://www.google.com/maps/search/?api=1&query=39.5304151%2C-74.6462563&query_place_id=ChIJP0rDJdrfwIkRwRvpS_Jkk0w0Na504ee0c-687d-425e-9e57-49fea5c3abe4Med Leaf Dispensary (Recreational / Adult Use)cannabis_clinic7sourceAtlantic County34001ZIP 08215 spans 2 counties; assigned to the county holding 55% of its land areacompleteUS39.53036477-74.64621223Kiva Confections store locator
Beneficial Buds730 S BroadwayHobartOK73651(580) 530-8047https://sweede.io/dispensary/beneficial-buds-llc-hobartKiva Confectionsu24147-loc_yzk55ryvOverture Maps placeOverture Maps placeCamino GummiesListedhttps://www.google.com/maps/dir/?api=1&destination=35.01935738,-99.09551624loc_yzk55ryvhttps://www.kivaconfections.com/find-us730 S Broadway, Hobart, OK 736512026-10-16Camino Gummiesflt_y3mgrwy3Google Maps=fld_y795m557https://www.google.com/maps/search/?api=1&query=35.0194%2C-99.0955&query_place_id=ChIJTbkFRg57rIcRV63jZ7rDcog0N6f01acc0-3448-45cd-bf8d-991a80138d02Beneficial Budscannabis_clinic7sourceKiowa County40075completeUS35.01935738-99.09551624Kiva Confections store locator
Five sample rows; the file you buy has all 46 columns.

{}What's in each row

FieldWhat it isRows filled
brandThe brand whose store locator lists the store100%
storeIdStore id (unique per place in this file)100%
storeNameStore name as the brand's locator lists it100%
addressStreet address100%
cityCity100%
stateState or province code (US always; outside the US where the locator gives one)100%
zipZIP or postal code100%
countryTwo-letter country code100%
latitudeLatitude100%
longitudeLongitude100%
phoneStore phone45%
phoneSourceWhere the phone came from: the brand's store locator, or the matched Overture place45%
websiteStore website42%
websiteSourceWhere the website came from: the brand's store locator, or the matched Overture place42%
storeTypeThe brand's own tags for the store on its locator (product lines, store types, retailer)100%
statusListed100%
directionsUrlGoogle Maps directions link100%
brandLocatorStoreIdThe store's id on the brand's locator100%
brandLocatorUrlThe brand's store locator page100%
brandLocatorAddressThe address as the brand's locator writes it in one line100%
sourceSource of the row100%
updatedDateDate the brand's locator was read100%
stockistFiltersThe locator's filter tags on this store100%
stockistFilterIdsIds of those filter tags100%
stockistCustomFieldIdsIds of the locator's custom fields set on this store100%
custom_Google_MapsA custom field the brand's locator shows for the store: Google Maps100%
src_priorityAnother field the brand's locator publishes for the store: priority100%
isChainY when 5 or more stores in these brand lists carry the same store name100%
chainNameChain name34%
chainStoreCountStores with that chain name across these brand lists34%
overturePlaceIdOverture Maps place id of the matched place (join key to Overture data)46%
overtureNameName of the matched Overture place46%
overtureCategoryOverture category of the matched place43%
overtureBrandBrand of the matched Overture place8%
overtureMatchMetersDistance between the store and the matched Overture place, in metres46%
naicsCodeNAICS 2022 code24%
naicsTitleNAICS title24%
sicCodeSIC code24%
sicTitleSIC title24%
industrySourceWhere the industry code came from24%
geo_precisionHow the map point was set100%
countyUS county (from the store's coordinates)100%
county_fipsUS county FIPS code100%
county_noteSet when the ZIP spans counties21%
address_qualitycomplete, no house number, po box, missing city or zip or missing100%

Rows filled is measured on every row of the delivered file.

✓Where this data comes from

Each row names the public source it came from, so any record can be checked against where it was published.

October 16, 2026

Snapshot built

46 fields

Columns in the file

Fill measured

On every row of the delivered file

How we build and date every file: methodology.

Using ChatGPT, Claude or an API?

No setup needed. Ask ChatGPT or Claude your question about the Kiva Confections Retailers and give it this page: it can open https://locationlists.com/find?dataset=kiva-confections-retailers with the filters you need and show you the count and price.

Using ChatGPT or Claude? Tell it to answer from locationlists.com/find — no account, no connector.

How assistants ask

No connector needed. Any AI assistant can answer from this site with a web link, no connector, no account: open https://locationlists.com/find with the question as query parameters.

If a question needs filtering, distance, drive time, combining lists or a price, open a /find link: either put the question itself in q=, or build the structured link. The answer does not need an API, a connector or an account.

Simplest, the question itself: https://locationlists.com/find?q=<the question in plain words>

Or set the parts yourself: https://locationlists.com/find?dataset=<slug>&state=<ST>&city=<city>&county=<county>&zip=<zip>&near=<place or zip>&radius=<miles>&drive=<minutes>&where=<column>:<op>:<value>&total=<rows>

Leave out what the question does not need. Use radius for straight-line miles or drive for minutes of driving (5 to 60), not both; near can name several places separated by | to reach from any of them. To ask about several lists at once, use datasets with two or more names, or category with a kind of business. To compare two lists, add relate=nearest and the other list with b. in front of its parameters. To count by area, use areas=county (or zip, state, metro). To keep only places whose county, ZIP code, metro area or state meets a Census figure, add area_where (for example county:population>1000000); with areas, per=100000 gives counts per 100,000 residents.

Links an assistant can open, each showing how many rows match, a few preview rows and the price for just that part:

Optional: connect for repeat use or wallet payments:

Read https://locationlists.com/skill.md and follow the instructions to connect LocationLists. Then show me the Kiva Confections Retailers list.

Your assistant will walk you through setup and show you the price before you pay.

For developers

At 4,623 records this dataset is not sold by the row — buy the file. Without a connector, open https://locationlists.com/find?dataset=kiva-confections-retailers. An agent connected to https://locationlists.com/mcp can still search it, read a free sample file of up to 10 rows and buy the whole file itself. How agent purchasing works

?Frequently Asked Questions

Where does this data come from?

From Kiva Confections' own store locator on kivaconfections.com. We read every store on its map on 2026-10-16. A store the map shows twice (same name and address) is one row.

What is one row?

One store on the brand's locator, with the brand's own tags for it (storeType) and any custom fields the locator shows.

Does it include stores outside the US?

Yes. 1 of the 4,623 stores are outside the US, across 1 country. Filter on country for one market.

Where do websites and phones come from?

From the brand's locator where it gives them. Otherwise from the Overture Maps place at the same spot with the same name. phoneSource and websiteSource say which.

How complete are phones and websites?

2,057 of the 4,623 stores have a phone, and 1,940 of the 4,623 have a website.

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