How to Match Treat Types to Training, Dental, and Reward Use

How to Match Treat Types to Training, Dental, and Reward Use

Nov. 06, 2026

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Choosing the right treat is not simply a matter of flavor or package size. With Xinji Biotechnology, I use a practical matching system based on treat function, texture, calorie density, dog size, and usage frequency. In this guide, I will show you How to Match Treat Types to Training, Dental, and Reward Use step by step, so your team can select safer products, improve customer satisfaction, and build a stronger Private Label Pet Treats range with clear product positioning.

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Start with the Treat’s Intended Function

Before selecting a product, define what the treat must achieve. A high-value training bite has a different specification from a long-lasting dental chew or an occasional reward.

At Xinji Biotechnology, I recommend classifying each SKU into one primary use case:

Treat application Main objective Preferred characteristics Typical serving frequency
Training treat Fast reinforcement and repeated behavior shaping Small, soft, aromatic, low-calorie Multiple pieces per session
Dental chew Mechanical abrasion and extended chewing Firm, textured, durable, size-appropriate Daily or several times weekly
Everyday reward Positive interaction and routine bonding Moderate size, appealing flavor, easy to portion One to several times daily
Functional treat Support for a specific nutritional objective Controlled active ingredients and claims According to label directions
Puppy treat Early training and safe chewing Soft or semi-soft, highly digestible, small format Frequent but limited portions

This classification prevents a common commercial mistake: selling a large, hard chew as a training reward or using a calorie-dense biscuit for frequent obedience work.

Match Treat Texture to the Behavior

Texture affects speed, safety, palatability, and the number of repetitions a dog can complete. When planning How to Match Treat Types to Training, Dental, and Reward Use, texture should be evaluated before flavor.

Soft Treats for Training

Soft treats are usually the most efficient choice for recall training, leash manners, crate training, and obedience drills. The dog can swallow them quickly, allowing the handler to deliver the next cue without a long interruption.

Look for:

  • A bite size of approximately 3–8 mm for small dogs and 8–15 mm for medium or large dogs
  • Moisture content suitable for the required shelf life
  • Strong aroma to compete with environmental distractions
  • A non-greasy surface that is easy to handle
  • Consistent piece weight, preferably controlled within a practical tolerance such as ±0.01–0.05 g for micro-training formats

For professional trainers and retailers, consistent sizing is important because it improves dosage control and reduces accidental overfeeding.

Firm Chews for Dental Use

Dental chews are designed for prolonged chewing rather than rapid consumption. Their texture should encourage gnawing without creating an unnecessary risk of tooth fracture or choking.

A suitable dental chew should have:

  • A size matched to the dog’s body weight and jaw strength
  • A textured or ridged surface to support mechanical contact with teeth
  • Sufficient firmness for chewing endurance
  • Clear supervision and age recommendations
  • No sharp fragments or excessively brittle sections

Dental treats should not be promoted as a replacement for veterinary dental care. They are best positioned as part of a broader oral-hygiene routine that may include tooth brushing and professional examinations.

Crunchy Biscuits for Controlled Rewards

Crunchy biscuits work well for occasional rewards, customer gift packs, and daily bonding routines. They are easier to merchandise and often provide strong visual appeal, but they may not be ideal for repeated training because they can be larger, harder, and more calorie-dense than soft training bites.

For a retail product line, I recommend offering multiple formats rather than forcing one treat to serve every purpose.

Calculate Treat Size and Calorie Density

Treat selection becomes more reliable when it is based on the dog’s daily energy allowance instead of appearance alone.

Use the 10% Treat Rule as a Planning Reference

A widely used nutrition-planning principle is to keep treats and supplemental foods at approximately 10% or less of a dog’s daily caloric intake, unless a veterinarian recommends otherwise. The remaining calories should come from a complete and balanced diet.

For example:

  1. Estimate the dog’s daily calorie requirement.
  2. Reserve no more than approximately 10% for treats.
  3. Divide that allowance by the number of expected rewards.
  4. Select a treat size that fits the calculated portion.
  5. Adjust the main meal if the dog receives additional calories.

If a dog receives 40 training rewards in one session, each piece must be very small. A 5 kcal biscuit could contribute 200 kcal before the dog’s regular meal, while a 0.5 kcal training bite would contribute only 20 kcal.

This is why low-calorie, small-format Private Label Pet Treats are often more suitable for professional training programs than oversized snacks.

Create a Calorie-Based Product Architecture

For distributors and brand owners, the product architecture can be organized as follows:

  • Micro training bites: approximately 0.5–2 kcal per piece
  • Standard reward treats: approximately 2–8 kcal per piece
  • Long-lasting chews: calorie content stated per chew and per 100 g
  • Functional treats: active ingredient dosage stated per piece and per daily serving

Exact values depend on the recipe, moisture level, ingredient matrix, and processing method. Every product should be validated through laboratory analysis rather than estimated only from ingredient declarations.

Match the Treat to Dog Size and Life Stage

A treat that is appropriate for an adult Labrador may be unsuitable for a toy breed puppy. Size, dentition, chewing behavior, and digestive sensitivity all affect product selection.

Small Dogs and Toy Breeds

Small dogs need smaller pieces and careful calorie control. A large chew can create a choking hazard or cause excessive caloric intake.

Recommended specifications include:

  • Small bite dimensions
  • Easy-to-break or semi-soft texture
  • Clear feeding limits
  • Lower sodium and moderate fat where appropriate
  • Resealable packaging to preserve freshness

Puppies

Puppies often need soft, highly digestible treats for socialization and basic training. Hard dental products should be selected cautiously according to age, dental development, and manufacturer guidance.

For puppy-focused Private Label Pet Treats, product labels should clearly state:

  • Minimum recommended age
  • Suitable breed or weight range
  • Supervision requirements
  • Maximum daily quantity
  • Storage conditions
  • Ingredient and allergen information

Senior Dogs

Senior dogs may have reduced chewing strength, dental disease, or digestive sensitivity. Semi-moist formats, softer textures, and smaller portions may improve acceptance.

However, dogs with diagnosed dental or gastrointestinal conditions require individualized veterinary advice. Marketing language should avoid unsupported medical claims.

Build a Practical Product-Matching Matrix

A product-matching matrix helps sales teams, retailers, and consumers select the correct item quickly.

Customer need Recommended format Avoid Label priority
Recall training Small, soft, aromatic pieces Large biscuits that delay swallowing “For frequent training rewards”
Puppy socialization Small semi-soft bites Hard, oversized chews Minimum age and portion guidance
Daily bonding Moderate-size biscuit or soft chew High-calorie unrestricted feeding Calories per piece
Dental support Firm, textured chew Brittle, sharp, or improperly sized products Dog weight range and supervision
Sensitive digestion Limited-ingredient recipe Unclear protein blends Ingredient transparency
Retail sampler Mixed small formats Products without consistent labeling Serving and storage instructions

This matrix is especially valuable when expanding a Private Label Pet Treats portfolio for international distribution.

Validate Quality and Safety Before Launch

Product matching is only effective when the treats are manufactured consistently. Xinji Biotechnology can support a structured private-label workflow that includes formulation review, specification confirmation, packaging coordination, and pre-shipment documentation.

Recommended Quality-Control Checkpoints

A professional quality plan should include:

  1. Raw-material verification
    Confirm supplier documentation, ingredient identity, allergen status, and incoming specifications.

  2. Batch formulation control
    Review recipe version, ingredient lot numbers, mixing parameters, and target moisture.

  3. Physical inspection
    Measure dimensions, piece weight, color, odor, hardness, and breakage rate. For precision products, a tolerance such as ±0.01 g may be specified for individual training pieces where production capability allows.

  4. Microbiological testing
    Establish a test panel appropriate to the product and market, such as total plate count, yeast and mold, Salmonella, and pathogenic Escherichia coli where applicable.

  5. Packaging verification
    Check seal integrity, oxygen and moisture protection, print accuracy, barcode readability, and net weight.

  6. Shelf-life validation
    Use real-time and, where appropriate, accelerated stability studies to verify texture, aroma, microbial condition, and packaging performance.

  7. Finished-goods release
    Maintain batch records, retain samples, and documented approval before shipment. A 100% visual inspection program can be used for critical packaging defects, while laboratory sampling follows an established quality plan.

When shipping internationally, packaging performance may be evaluated using standards such as ASTM D4169 for distribution-cycle testing. Seal and package-integrity methods may also be selected according to the structure and market requirements. Where European packaging specifications apply, relevant DIN EN requirements should be reviewed with the importer or compliance team rather than assumed automatically.

Prepare Labels for Retail and Export Markets

A strong label answers the customer’s most important questions within seconds.

For each SKU, include:

  • Product name and intended use
  • Ingredient list in descending order where required
  • Analytical constituents or guaranteed analysis
  • Calorie information when available or required
  • Feeding guidelines by dog weight
  • Maximum daily serving recommendation
  • Storage instructions
  • Lot or batch identification
  • Best-before date
  • Manufacturer or responsible business details
  • Country-specific compliance information

Avoid claims such as “prevents dental disease,” “cures anxiety,” or “guarantees weight loss” unless the claim is legally permitted and supported by appropriate evidence. Safer wording may describe product characteristics, such as “supports chewing activity” or “suitable for reward-based training,” subject to local regulatory review.

Overcome Common Execution Challenges

Even a well-designed treat range can encounter practical problems during production and sales.

Challenge: Treats Are Too Large for Repeated Training

Solution: Reduce piece size, create a mini format, or offer breakable treats. Recalculate calories per piece and update the feeding guide.

Challenge: Dental Chews Break Too Easily

Solution: Review moisture, density, extrusion or baking parameters, and cooling conditions. Conduct compression, breakage, and transit tests before commercial release.

Challenge: Dogs Lose Interest Quickly

Solution: Evaluate palatability through controlled acceptance testing. Consider aroma intensity, protein source, fat coating, texture, and flavor rotation while maintaining nutritional and regulatory control.

Challenge: Packaging Becomes Soft or Greasy

Solution: Check water activity, residual moisture, oil migration, film barrier properties, and heat-seal parameters. Packaging should be validated through shelf-life testing rather than judged only at the factory.

Challenge: Customers Misuse Dental Products

Solution: Add clear size-selection charts, supervision warnings, feeding frequency, and disposal instructions. Retail staff should understand that dental chews are not suitable for every dog.

Challenge: Private-Label Launch Delays

Solution: Freeze the product specification before artwork approval, confirm carton and pouch dimensions early, and use a milestone schedule for sampling, testing, printing, production, and shipment. A documented 24-hour response target for technical questions can reduce avoidable delays.

Use Tools That Improve Selection and Execution

I recommend using a simple operational toolkit for every private-label project:

  • Treat-selection spreadsheet: Tracks dog size, treat purpose, calories per piece, serving limits, and target retail price.
  • SKU specification sheet: Records dimensions, moisture, texture, packaging, shelf life, and test requirements.
  • Batch traceability system: Links finished products to ingredient lots and production dates.
  • Packaging checklist: Verifies artwork, barcode, seal, net weight, language, and regulatory statements.
  • Stability-test schedule: Compares product performance at defined intervals.
  • Customer feedback form: Captures palatability, treat size, odor, breakage, and repurchase intent.
  • Retail training guide: Helps staff explain the difference between training treats, dental chews, and everyday rewards.

For international buyers, a supplier should be able to provide clear specifications, sample approval records, test reports where applicable, and responsive technical communication.

A Simple Action Plan for Your Next SKU

To apply How to Match Treat Types to Training, Dental, and Reward Use, follow this sequence:

  1. Define the primary use: training, dental, daily reward, puppy, senior, or functional.
  2. Set the target dog size and life stage.
  3. Choose the texture and piece format.
  4. Calculate calories per piece or per chew.
  5. Draft feeding guidance and safety warnings.
  6. Confirm raw materials and formulation limits.
  7. Establish physical, microbiological, packaging, and shelf-life testing.
  8. Approve the sample before artwork and mass production.
  9. Validate packaging using suitable distribution testing, including ASTM D4169 where relevant.
  10. Review customer feedback after launch and refine the next production batch.

Xinji Biotechnology Helps Turn Treat Selection into a Clear Product Strategy

The best treat range is not the one with the most flavors; it is the one that clearly solves different customer needs. By separating soft training bites, durable dental chews, controlled everyday rewards, and life-stage-specific formats, Xinji Biotechnology helps brand owners develop more understandable and commercially effective Private Label Pet Treats.

Use calorie control, texture selection, dog-size guidance, documented quality checks, and clear labeling to reduce misuse and improve repeat purchase. When you apply these steps consistently, How to Match Treat Types to Training, Dental, and Reward Use becomes a practical product-development process rather than a vague marketing concept. Start with one clearly defined SKU, confirm its specification, complete the required testing, and build your next private-label product around verified customer needs.

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  • Bimini
  • Black Point
  • Cat Island
  • Central Abaco
  • Central Andros
  • Central Eleuthera
  • City of Freeport
  • Crooked Island
  • East Grand Bahama
  • Exuma
  • Grand Cay
  • Harbour Island
  • Hope Town
  • Inagua
  • Long Island
  • Mangrove Cay
  • Mayaguana
  • Moore's Island
  • North Abaco
  • North Andros
  • North Eleuthera
  • Ragged Island
  • Rum Cay
  • San Salvador
  • South Abaco
  • South Andros
  • South Eleuthera
  • Spanish Wells
  • West Grand Bahama
  • Capital
  • Central
  • Muharraq
  • Northern
  • Southern
  • Barisal
  • Chittagong
  • Dhaka
  • Khulna
  • Rajshahi
  • Sylhet
  • Christ Church
  • Saint Andrew
  • Saint George
  • Saint James
  • Saint John
  • Saint Joseph
  • Saint Lucy
  • Saint Michael
  • Saint Peter
  • Saint Philip
  • Saint Thomas
  • Brestskaya (Brest)
  • Homyel'skaya (Homyel')
  • Horad Minsk
  • Hrodzyenskaya (Hrodna)
  • Mahilyowskaya (Mahilyow)
  • Minskaya
  • Vitsyebskaya (Vitsyebsk)
  • Antwerpen
  • Brabant Wallon
  • Hainaut
  • Liège
  • Limburg
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  • Namur
  • Oost-Vlaanderen
  • Vlaams Brabant
  • West-Vlaanderen
  • Brussels-Capital Region
  • Belize
  • Cayo
  • Corozal
  • Orange Walk
  • Stann Creek
  • Toledo
  • Alibori
  • Atakora
  • Atlantique
  • Borgou
  • Collines
  • Donga
  • Kouffo
  • Littoral
  • Mono
  • Oueme
  • Plateau
  • Zou
  • Devonshire
  • Hamilton City
  • Hamilton
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  • Saint George City
  • Saint George's
  • Sandys
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  • Bumthang
  • Chukha
  • Dagana
  • Gasa
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  • Mongar
  • Paro
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  • Samtse
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  • Trashigang
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  • Trongsa
  • Tsirang
  • Wangdue Phodrang
  • Zhemgang
  • Beni
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  • La Paz
  • Oruro
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  • Santa Cruz
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  • Unsko-Sanski Kanton
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  • Tuzlanski Kanton
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  • Bosanskopodrinjski Kanton
  • Srednjebosanski Kanton
  • Hercegovacko-neretvanski Kanton
  • Zapadnohercegovacka Zupanija
  • Kanton Sarajevo
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  • Banja Luka
  • Doboj
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  • Sarajevo-Romanija or Sokolac
  • Foca
  • Trebinje
  • Central
  • Ghanzi
  • Kgalagadi
  • Kgatleng
  • Kweneng
  • Ngamiland
  • North East
  • North West
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  • Southern
  • Acre
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  • Bahia
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  • Distrito Federal
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  • Rondônia
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  • Siemreap
  • Stung Treng
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  • Takeo
  • Adamawa (Adamaoua)
  • Centre
  • East (Est)
  • Extreme North (Extreme-Nord)
  • Littoral
  • North (Nord)
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  • West (Ouest)
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  • Southwest (Sud-Ouest).
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  • Putumayo
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  • Santander
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  • Vaupes
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  • Grande Comore
  • Anjouan
  • Moheli
  • Bouenza
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  • Cuvette
  • Cuvette-Ouest
  • Kouilou
  • Lekoumou
  • Likouala
  • Niari
  • Plateaux
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  • Sangha
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  • Manihiki
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  • Surwarrow
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  • Aitutaki
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  • Atiu
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  • Mangaia
  • Alajuela
  • Cartago
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  • Heredia
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  • San Jose
  • Abengourou
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  • Aboisso
  • Adiake
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  • Agboville
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  • Alepe
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  • Bouafle
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  • Boundiali
  • Dabakala
  • Dabou
  • Daloa
  • Danane
  • Daoukro
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  • Divo
  • Duekoue
  • Ferkessedougou
  • Gagnoa
  • Grand-Bassam
  • Grand-Lahou
  • Guiglo
  • Issia
  • Jacqueville
  • Katiola
  • Korhogo
  • Lakota
  • Man
  • Mankono
  • Mbahiakro
  • Odienne
  • Oume
  • Sakassou
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  • Sassandra
  • Seguela
  • Sinfra
  • Soubre
  • Tabou
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  • Aileu
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  • Cova Lima
  • Dili
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  • Matruh
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  • Cabanas
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  • San Miguel
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  • Santa Ana
  • Sonsonate
  • Usulutan
  • Provincia Annobon
  • Provincia Bioko Norte
  • Provincia Bioko Sur
  • Provincia Centro Sur
  • Provincia Kie-Ntem
  • Provincia Litoral
  • Provincia Wele-Nzas
  • Central (Maekel)
  • Anseba (Keren)
  • Southern Red Sea (Debub-Keih-Bahri)
  • Northern Red Sea (Semien-Keih-Bahri)
  • Southern (Debub)
  • Gash-Barka (Barentu)
  • Harjumaa (Tallinn)
  • Hiiumaa (Kardla)
  • Ida-Virumaa (Johvi)
  • Jarvamaa (Paide)
  • Jogevamaa (Jogeva)
  • Laane-Virumaa (Rakvere)
  • Laanemaa (Haapsalu)
  • Parnumaa (Parnu)
  • Polvamaa (Polva)
  • Raplamaa (Rapla)
  • Saaremaa (Kuessaare)
  • Tartumaa (Tartu)
  • Valgamaa (Valga)
  • Viljandimaa (Viljandi)
  • Vorumaa (Voru)
  • Afar
  • Amhara
  • Benishangul-Gumaz
  • Gambela
  • Hariai
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  • Somali
  • Southern Nations - Nationalities and Peoples Region
  • Tigray
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  • Dire Dawa
  • Central Division
  • Northern Division
  • Eastern Division
  • Western Division
  • Rotuma
  • Ahvenanmaan lääni
  • Etelä-Suomen lääni
  • Itä-Suomen lääni
  • Länsi-Suomen lääni
  • Lapin lääni
  • Oulun lääni
  • Ain
  • Aisne
  • Allier
  • Alpes de Haute Provence
  • Hautes-Alpes
  • Alpes Maritimes
  • Ardèche
  • Ardennes
  • Ariège
  • Aube
  • Aude
  • Aveyron
  • Bouches du Rhône
  • Calvados
  • Cantal
  • Charente
  • Charente Maritime
  • Cher
  • Corrèze
  • Corse du Sud
  • Haute Corse
  • Côte d'or
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  • Creuse
  • Dordogne
  • Doubs
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  • Eure
  • Eure et Loir
  • Finistère
  • Gard
  • Haute Garonne
  • Gers
  • Gironde
  • Hérault
  • Ille et Vilaine
  • Indre
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  • Isére
  • Jura
  • Landes
  • Loir et Cher
  • Loire
  • Haute Loire
  • Loire Atlantique
  • Loiret
  • Lot
  • Lot et Garonne
  • Lozère
  • Maine et Loire
  • Manche
  • Marne
  • Haute Marne
  • Mayenne
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  • Meuse
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  • Moselle
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  • Nord
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  • Pas de Calais
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  • Pyrénées Atlantiques
  • Hautes Pyrénées
  • Pyrénées Orientales
  • Bas Rhin
  • Haut Rhin
  • Rhône
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  • Saône et Loire
  • Sarthe
  • Savoie
  • Haute Savoie
  • Paris
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  • Seine et Marne
  • Yvelines
  • Deux Sèvres
  • Somme
  • Tarn
  • Tarn et Garonne
  • Var
  • Vaucluse
  • Vendée
  • Vienne
  • Haute Vienne
  • Vosges
  • Yonne
  • Territoire de Belfort
  • Essonne
  • Hauts de Seine
  • Seine St-Denis
  • Val de Marne
  • Val d'Oise
  • Archipel des Marquises
  • Archipel des Tuamotu
  • Archipel des Tubuai
  • Iles du Vent
  • Iles Sous-le-Vent
  • Estuaire
  • Haut-Ogooue
  • Moyen-Ogooue
  • Ngounie
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  • Ogooue-Lolo
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  • Woleu-Ntem
  • Banjul
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  • Janjangbure
  • Kanifeng
  • Kerewan
  • Kuntaur
  • Mansakonko
  • Lower River
  • Central River
  • North Bank
  • Upper River
  • Western
  • Abkhazia
  • Ajaria
  • Tbilisi
  • Guria
  • Imereti
  • Kakheti
  • Kvemo Kartli
  • Mtskheta-Mtianeti
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  • Central Region
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  • Crete
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  • Epirus
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  • Avannaa
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  • Kitaa
  • Saint Andrew
  • Saint David
  • Saint George
  • Saint John
  • Saint Mark
  • Saint Patrick
  • Carriacou
  • Petit Martinique
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  • Retalhuleu
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  • Santa Rosa
  • Solola
  • Suchitepequez
  • Totonicapan
  • Zacapa
  • Conakry
  • Beyla
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  • Boke
  • Coyah
  • Dabola
  • Dalaba
  • Dinguiraye
  • Dubreka
  • Faranah
  • Forecariah
  • Fria
  • Gaoual
  • Gueckedou
  • Kankan
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  • Labe
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  • Mali
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  • Telimele
  • Tougue
  • Yomou
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  • Gabu Region
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  • Quinara Region
  • Tombali Region
  • Barima-Waini
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  • Nord
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  • Nord-Ouest
  • Ouest
  • Sud
  • Sud-Est
  • Atlantida
  • Choluteca
  • Colon
  • Comayagua
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  • Aichi
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  • Central
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  • Ainaži, Salacgrīvas novads
  • Aizkraukle, Aizkraukles novads
  • Aizkraukles novads
  • Aizpute, Aizputes novads
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  • Aknīste, Aknīstes novads
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  • Aloja, Alojas novads
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  • Alūksne, Alūksnes novads
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  • Ape, Apes novads
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  • Auce, Auces novads
  • Auces novads
  • Ādažu novads
  • Babītes novads
  • Baldone, Baldones novads
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  • Baloži, Ķekavas novads
  • Baltinavas novads
  • Balvi, Balvu novads
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  • Bauska, Bauskas novads
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  • Beverīnas novads
  • Brocēni, Brocēnu novads
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  • Cesvaine, Cesvaines novads
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  • Dagda, Dagdas novads
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  • Daugavpils
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  • Engures novads
  • Ērgļu novads
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  • Grobiņa, Grobiņas novads
  • Grobiņas novads
  • Gulbene, Gulbenes novads
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  • Iecavas novads
  • Ikšķile, Ikšķiles novads
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  • Ilūkste, Ilūkstes novads
  • Ilūkstes novads
  • Inčukalna novads
  • Jaunjelgava, Jaunjelgavas novads
  • Jaunjelgavas novads
  • Jaunpiebalgas novads
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  • Jelgava
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  • Jēkabpils
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  • Jūrmala
  • Kalnciems, Jelgavas novads
  • Kandava, Kandavas novads
  • Kandavas novads
  • Kārsava, Kārsavas novads
  • Kārsavas novads
  • Kocēnu novads ,bij. Valmieras)
  • Kokneses novads
  • Krāslava, Krāslavas novads
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  • Kuldīga, Kuldīgas novads
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  • Ķegums, Ķeguma novads
  • Ķekavas novads
  • Lielvārde, Lielvārdes novads
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  • Liepāja
  • Limbaži, Limbažu novads
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  • Līgatne, Līgatnes novads
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  • Līvāni, Līvānu novads
  • Līvānu novads
  • Lubāna, Lubānas novads
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  • Ludza, Ludzas novads
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  • Ogre, Ogres novads
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  • Piltene, Ventspils novads
  • Pļaviņas, Pļaviņu novads
  • Pļaviņu novads
  • Preiļi, Preiļu novads
  • Preiļu novads
  • Priekule, Priekules novads
  • Priekules novads
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  • Raunas novads
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  • Rūjiena, Rūjienas novads
  • Rūjienas novads
  • Sabile, Talsu novads
  • Salacgrīva, Salacgrīvas novads
  • Salacgrīvas novads
  • Salas novads
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  • Salaspils, Salaspils novads
  • Saldus novads
  • Saldus, Saldus novads
  • Saulkrasti, Saulkrastu novads
  • Saulkrastu novads
  • Seda, Strenču novads
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  • Sigulda, Siguldas novads
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  • Skrīveru novads
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  • Staicele, Alojas novads
  • Stende, Talsu novads
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  • Subate, Ilūkstes novads
  • Talsi, Talsu novads
  • Talsu novads
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  • Tukuma novads
  • Tukums, Tukuma novads
  • Vaiņodes novads
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  • Valka, Valkas novads
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  • Valmiera
  • Vangaži, Inčukalna novads
  • Varakļāni, Varakļānu novads
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  • Vārkavas novads
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  • Vecumnieku novads
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  • Viesīte, Viesītes novads
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  • Viļaka, Viļakas novads
  • Viļakas novads
  • Viļāni, Viļānu novads
  • Viļānu novads
  • Zilupe, Zilupes novads
  • Zilupes novads
  • Beirut
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  • Mount Lebanon
  • Nabatieh
  • North
  • South
  • Berea
  • Butha-Buthe
  • Leribe
  • Mafeteng
  • Maseru
  • Mohale's Hoek
  • Mokhotlong
  • Qacha's Nek
  • Quthing
  • Thaba-Tseka
  • Bomi
  • Bong
  • Grand Bassa
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  • Grand Gedeh
  • Grand Kru
  • Lofa
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  • Montserrado
  • Nimba
  • River Cess
  • Sinoe
  • Ajdabiya
  • Al 'Aziziyah
  • Al Fatih
  • Al Jabal al Akhdar
  • Al Jufrah
  • Al Khums
  • Al Kufrah
  • An Nuqat al Khams
  • Ash Shati'
  • Awbari
  • Az Zawiyah
  • Banghazi
  • Darnah
  • Ghadamis
  • Gharyan
  • Misratah
  • Murzuq
  • Sabha
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  • Surt
  • Tarabulus (Tripoli)
  • Tarhunah
  • Tubruq
  • Yafran
  • Zlitan
  • Vaduz
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  • Triesen
  • Eschen
  • Mauren
  • Triesenberg
  • Ruggell
  • Gamprin
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  • Planken
  • Alytus
  • Kaunas
  • Klaipeda
  • Marijampole
  • Panevezys
  • Siauliai
  • Taurage
  • Telsiai
  • Utena
  • Vilnius
  • Diekirch
  • Clervaux
  • Redange
  • Vianden
  • Wiltz
  • Grevenmacher
  • Echternach
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  • Capellen
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  • Mersch
  • Our Lady Fatima Parish
  • St. Anthony Parish
  • St. Lazarus Parish
  • Cathedral Parish
  • St. Lawrence Parish
  • Antananarivo
  • Antsiranana
  • Fianarantsoa
  • Mahajanga
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  • Toliara
  • Balaka
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  • Chitipa
  • Dedza
  • Dowa
  • Karonga
  • Kasungu
  • Likoma
  • Lilongwe
  • Machinga
  • Mangochi
  • Mchinji
  • Mulanje
  • Mwanza
  • Mzimba
  • Ntcheu
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  • Pahang
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  • Thiladhunmathi Uthuru
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  • Miladhunmadulu Uthuru
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  • Maalhosmadulu Uthuru
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  • Faadhippolhu
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  • Felidhe Atoll
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  • Nilandhe Atoll Uthuru
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  • Kolhumadulu
  • Hadhdhunmathi
  • Huvadhu Atoll Uthuru
  • Huvadhu Atoll Dhekunu
  • Fua Mulaku
  • Addu
  • Gao
  • Kayes
  • Kidal
  • Koulikoro
  • Mopti
  • Segou
  • Sikasso
  • Tombouctou
  • Bamako Capital District
  • Attard
  • Balzan
  • Birgu
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  • Birzebbuga
  • Bormla
  • Dingli
  • Fgura
  • Floriana
  • Gudja
  • Gzira
  • Gargur
  • Gaxaq
  • Hamrun
  • Iklin
  • Isla
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  • Kirkop
  • Lija
  • Luqa
  • Marsa
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  • Mdina
  • Melliea
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  • Mosta
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  • Msida
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  • Naxxar
  • Paola
  • Pembroke
  • Pieta
  • Qormi
  • Qrendi
  • Rabat
  • Safi
  • San Giljan
  • Santa Lucija
  • San Pawl il-Bahar
  • San Gwann
  • Santa Venera
  • Siggiewi
  • Sliema
  • Swieqi
  • Ta Xbiex
  • Tarxien
  • Valletta
  • Xgajra
  • Zabbar
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  • Zejtun
  • Zurrieq
  • Fontana
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  • Gharb
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  • Kercem
  • Munxar
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  • Victoria
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  • Gorgol
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  • Inchiri
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  • Beau Bassin-Rose Hill
  • Curepipe
  • Port Louis
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  • Agalega Islands
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  • Rodrigues
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  • Riviere du Rempart
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  • Sinaloa
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  • Tabasco
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  • Veracruz-Llave
  • Yucatan
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  • Chuuk
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  • Gagauzia
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  • Balti
  • Cahul
  • Edinet
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  • Fontvieille
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  • Ulanbaatar
  • Orhon
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  • Hentiy
  • Hovsgol
  • Hovd
  • Uvs
  • Tov
  • Selenge
  • Suhbaatar
  • Omnogovi
  • Ovorhangay
  • Dzavhan
  • DundgovL
  • Dornod
  • Dornogov
  • Govi-Sumber
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  • Bulgan
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  • Arhangay
  • Saint Anthony
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  • Agadir
  • Al Hoceima
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  • Oujda
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  • Safi
  • Settat
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  • Tangier
  • Tan-Tan
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  • Western Highlands
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  • Aklan
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  • Camiguin
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  • Davao del Norte
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  • Davao Oriental
  • Eastern Samar
  • Guimaras
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  • Ilocos Sur
  • Iloilo
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  • Lanao del Sur
  • La Union
  • Leyte
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  • Mindoro Oriental
  • Misamis Occidental
  • Misamis Oriental
  • Mountain
  • Negros Occidental
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  • North Cotabato
  • Northern Samar
  • Nueva Ecija
  • Nueva Vizcaya
  • Palawan
  • Pampanga
  • Pangasinan
  • Quezon
  • Quirino
  • Rizal
  • Romblon
  • Samar
  • Sarangani
  • Siquijor
  • Sorsogon
  • South Cotabato
  • Southern Leyte
  • Sultan Kudarat
  • Sulu
  • Surigao del Norte
  • Surigao del Sur
  • Tarlac
  • Tawi-Tawi
  • Zambales
  • Zamboanga del Norte
  • Zamboanga del Sur
  • Zamboanga Sibugay
  • Dolnoslaskie
  • Kujawsko-Pomorskie
  • Lodzkie
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  • Opolskie
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  • Wielkopolskie
  • Zachodniopomorskie
  • Açores
  • Aveiro
  • Beja
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  • Bragança
  • Castelo Branco
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  • Madeira
  • Portalegre
  • Porto
  • Santarém
  • Setúbal
  • Viana do Castelo
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  • Viseu
  • Ad Dawhah
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  • Al Khawr
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  • Umm Sa'id
  • Umm Salal
  • Alba
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  • Arges
  • Bacau
  • Bihor
  • Bistrita-Nasaud
  • Botosani
  • Brasov
  • Braila
  • Bucuresti
  • Buzau
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  • Calarasi
  • Cluj
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  • Covasna
  • Dimbovita
  • Dolj
  • Galati
  • Giurgiu
  • Gorj
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  • Ialomita
  • Iasi
  • Ilfov
  • Maramures
  • Mehedinti
  • Mures
  • Neamt
  • Olt
  • Prahova
  • Satu-Mare
  • Salaj
  • Sibiu
  • Suceava
  • Teleorman
  • Timis
  • Tulcea
  • Vaslui
  • Valcea
  • Vrancea
  • Abakan
  • Aginskoye
  • Anadyr
  • Arkahangelsk
  • Astrakhan
  • Barnaul
  • Belgorod
  • Birobidzhan
  • Blagoveshchensk
  • Bryansk
  • Cheboksary
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  • Chita
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  • Gorno-Altaysk
  • Groznyy
  • Irkutsk
  • Ivanovo
  • Izhevsk
  • Kalinigrad
  • Kaluga
  • Kasnodar
  • Kazan
  • Kemerovo
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  • Khanty-Mansiysk
  • Kostroma
  • Krasnodar
  • Krasnoyarsk
  • Kudymkar
  • Kurgan
  • Kursk
  • Kyzyl
  • Lipetsk
  • Magadan
  • Makhachkala
  • Maykop
  • Moscow
  • Murmansk
  • Nalchik
  • Naryan Mar
  • Nazran
  • Nizhniy Novgorod
  • Novgorod
  • Novosibirsk
  • Omsk
  • Orel
  • Orenburg
  • Palana
  • Penza
  • Perm
  • Petropavlovsk-Kamchatskiy
  • Petrozavodsk
  • Pskov
  • Rostov-na-Donu
  • Ryazan
  • Salekhard
  • Samara
  • Saransk
  • Saratov
  • Smolensk
  • St. Petersburg
  • Stavropol
  • Syktyvkar
  • Tambov
  • Tomsk
  • Tula
  • Tura
  • Tver
  • Tyumen
  • Ufa
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  • Ulan-Ude
  • Ust'-Ordynskiy
  • Vladikavkaz
  • Vladimir
  • Vladivostok
  • Volgograd
  • Vologda
  • Voronezh
  • Vyatka
  • Yakutsk
  • Yaroslavl
  • Yekaterinburg
  • Yoshkar-Ola
  • Butare
  • Byumba
  • Cyangugu
  • Gikongoro
  • Gisenyi
  • Gitarama
  • Kibungo
  • Kibuye
  • Kigali Rurale
  • Kigali-ville
  • Ruhengeri
  • Umutara
  • Christ Church Nichola Town
  • Saint Anne Sandy Point
  • Saint George Basseterre
  • Saint George Gingerland
  • Saint James Windward
  • Saint John Capesterre
  • Saint John Figtree
  • Saint Mary Cayon
  • Saint Paul Capesterre
  • Saint Paul Charlestown
  • Saint Peter Basseterre
  • Saint Thomas Lowland
  • Saint Thomas Middle Island
  • Trinity Palmetto Point
  • Anse-la-Raye
  • Castries
  • Choiseul
  • Dauphin
  • Dennery
  • Gros-Islet
  • Laborie
  • Micoud
  • Praslin
  • Soufriere
  • Vieux-Fort
  • Charlotte
  • Grenadines
  • Saint Andrew
  • Saint David
  • Saint George
  • Saint Patrick
  • A'ana
  • Aiga-i-le-Tai
  • Atua
  • Fa'asaleleaga
  • Gaga'emauga
  • Gagaifomauga
  • Palauli
  • Satupa'itea
  • Tuamasaga
  • Va'a-o-Fonoti
  • Vaisigano
  • Acquaviva
  • Borgo Maggiore
  • Chiesanuova
  • Domagnano
  • Faetano
  • Fiorentino
  • Montegiardino
  • Citta di San Marino
  • Serravalle
  • Al Bahah
  • Al Hudud ash Shamaliyah
  • Al Jawf
  • Al Madinah
  • Al Qasim
  • Ar Riyad
  • Ash Sharqiyah (Eastern)
  • 'Asir
  • Ha'il
  • Jizan
  • Makkah
  • Najran
  • Tabuk
  • Dakar
  • Diourbel
  • Fatick
  • Kaolack
  • Kolda
  • Louga
  • Matam
  • Saint-Louis
  • Tambacounda
  • Thies
  • Ziguinchor
  • Anse aux Pins
  • Anse Boileau
  • Anse Etoile
  • Anse Louis
  • Anse Royale
  • Baie Lazare
  • Baie Sainte Anne
  • Beau Vallon
  • Bel Air
  • Bel Ombre
  • Cascade
  • Glacis
  • Grand' Anse (on Mahe)
  • Grand' Anse (on Praslin)
  • La Digue
  • La Riviere Anglaise
  • Mont Buxton
  • Mont Fleuri
  • Plaisance
  • Pointe La Rue
  • Port Glaud
  • Saint Louis
  • Takamaka
  • Eastern
  • Northern
  • Southern
  • Western
  • Banskobystrický
  • Bratislavský
  • Košický
  • Nitriansky
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  • Žilinský
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  • Koroška
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  • Osrednjeslovenska
  • Gorenjska
  • Notranjsko-kraška
  • Goriška
  • Obalno-kraška
  • Central
  • Choiseul
  • Guadalcanal
  • Honiara
  • Isabel
  • Makira
  • Malaita
  • Rennell and Bellona
  • Temotu
  • Western
  • Awdal
  • Bakool
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  • Bari
  • Bay
  • Galguduud
  • Gedo
  • Hiiraan
  • Jubbada Dhexe
  • Jubbada Hoose
  • Mudug
  • Nugaal
  • Sanaag
  • Shabeellaha Dhexe
  • Shabeellaha Hoose
  • Sool
  • Togdheer
  • Woqooyi Galbeed
  • Eastern Cape
  • Free State
  • Gauteng
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  • Limpopo
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  • North West
  • Northern Cape
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  • La Coruña
  • Álava
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  • Teruel
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  • Zamora
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  • Central
  • Eastern
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  • Northern
  • North Western
  • Sabaragamuwa
  • Southern
  • Uva
  • Western
  • Saint Helena
  • A'ali an Nil
  • Al Bahr al Ahmar
  • Al Buhayrat
  • Al Jazirah
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  • Al Qadarif
  • Al Wahdah
  • An Nil al Abyad
  • An Nil al Azraq
  • Ash Shamaliyah
  • Bahr al Jabal
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  • Gharb Darfur
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  • Janub Darfur
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  • Junqali
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  • Nahr an Nil
  • Shamal Bahr al Ghazal
  • Shamal Darfur
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  • Sharq al Istiwa'iyah
  • Sinnar
  • Warab
  • Brokopondo
  • Commewijne
  • Coronie
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  • Para
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  • Sipaliwini
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  • Gävleborg
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  • Södermanland
  • Stockholm
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  • Västerbotten
  • Västernorrland
  • Västmanland
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  • Aargau
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  • Basel-Stadt
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  • Jura
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  • St. Gallen
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  • Schwyz
  • Solothurn
  • Thurgau
  • Ticino
  • Uri
  • Valais
  • Vaud
  • Zug
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  • Al Hasakah
  • Al Ladhiqiyah
  • Al Qunaytirah
  • Ar Raqqah
  • As Suwayda
  • Dara
  • Dayr az Zawr
  • Dimashq
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  • Rif Dimashq
  • Tartus
  • Chang-hua
  • Chia-i
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  • T'ai-tung
  • T'ao-yuan
  • Yun-lin
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  • Chi-lung
  • Hsin-chu
  • T'ai-chung
  • T'ai-nan
  • Kao-hsiung city
  • T'ai-pei city
  • Gorno-Badakhstan
  • Khatlon
  • Sughd
  • Arusha
  • Dar es Salaam
  • Dodoma
  • Iringa
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  • Kigoma
  • Kilimanjaro
  • Lindi
  • Manyara
  • Mara
  • Mbeya
  • Morogoro
  • Mtwara
  • Mwanza
  • Pemba North
  • Pemba South
  • Pwani
  • Rukwa
  • Ruvuma
  • Shinyanga
  • Singida
  • Tabora
  • Tanga
  • Zanzibar Central/South
  • Zanzibar North
  • Zanzibar Urban/West
  • Amnat Charoen
  • Ang Thong
  • Ayutthaya
  • Bangkok
  • Buriram
  • Chachoengsao
  • Chai Nat
  • Chaiyaphum
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  • Chiang Rai
  • Chon Buri
  • Chumphon
  • Kalasin
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  • Kanchanaburi
  • Khon Kaen
  • Krabi
  • Lampang
  • Lamphun
  • Loei
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  • Mae Hong Son
  • Maha Sarakham
  • Mukdahan
  • Nakhon Nayok
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  • Nan
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  • Pathum Thani
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  • Phichit
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  • Phrae
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  • Prachin Buri
  • Prachuap Khiri Khan
  • Ranong
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  • Roi Et
  • Sa Kaeo
  • Sakon Nakhon
  • Samut Prakan
  • Samut Sakhon
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  • Sara Buri
  • Satun
  • Sing Buri
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  • Surat Thani
  • Surin
  • Tak
  • Trang
  • Trat
  • Ubon Ratchathani
  • Udon Thani
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  • 111111
  • 222
  • 33333
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