Random address in Sakīt, Uttar Pradesh, India

1 postcode areas in Sakīt, Uttar Pradesh, India. Every address keeps the real city, region and postcode together; the street and house number are invented.

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Test data: real cities, regions and postcodes with invented streets and house numbers. Not verified for delivery. Do not use them to pass identity or address checks, to order deliveries, or to mislead anyone.

Type 2+ letters and pick a city.

1–100 per batch.

Random addresses in Sakīt, Uttar Pradesh, India

10 addresses generated.

  1. Street address
    111, Patel Nagar Main Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  2. Street address
    250, Tilak Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  3. Street address
    577, Ambedkar Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  4. Street address
    536, Hospital Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  5. Street address
    137, Main Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  6. Street address
    574, Rajaji Street
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  7. Street address
    304, MG Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  8. Street address
    335, Church Street
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  9. Street address
    224, Linking Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
  10. Street address
    616, Hill Road
    City
    Sakīt
    Postcode / ZIP
    207121
    State / region
    Uttar Pradesh
    Country
    India
Population
  1. Lucknow 2,472,011
  2. Agra 1,430,055
  3. Meerut 1,223,184
  4. Ghaziabad 1,199,191
  5. Varanasi 1,164,404
  6. Allahabad 1,073,438
  7. Aligarh 753,207
  8. Bareilly 745,435
  9. Moradabad 721,139
  10. Gorakhpur 674,246
  11. Saharanpur 484,873
  12. Jhansi 412,927

Anatomy of an address in Sakīt, Uttar Pradesh, India

Postcodes come from GeoNames postal data and belong to the city shown.

Postcode pattern
######
Postcode areas
1
  1. 19, Indira Nagar Roadstreet and number
  2. Sakīt 207121city · postcode
  3. Uttar Pradeshregion
  4. INDIACOUNTRY
A fixed sample for this page. Generate above for new ones.

How to generate random addresses

  1. Choose a country, then a state or region, or search for a city.

  2. Set how many addresses you need (1–100) and generate.

  3. Copy one field, one address or the whole batch, or download it as JSON or CSV.

Where the places come from

Cities, regions and postcodes come from GeoNames under a CC BY 4.0 licence. Streets and house numbers are built from common local street names, so a match with a real address is a coincidence.

Useful for forms and software tests

Test checkout and shipping forms, postcode validation, address layouts in other languages, database seeds and demos. Store postcodes as text: many start with zero or contain letters.

Questions about random addresses

How do you write an address in Sakīt?

Line by line: street and number / district / city postcode / region / COUNTRY. For example: 19, Indira Nagar Road, Sakīt 207121, Uttar Pradesh, INDIA.

What is the PIN code format in Sakīt?

India uses the PIN code pattern ######, where # is a digit and @ is a letter.

Which PIN code areas does Sakīt have?

Sakīt has 1 PIN code areas in our data, for example 207121.

Are these real addresses?

The city, region and postcode are real and appear together in postal data. The street and house number are invented, so the full address is test data and is not checked for delivery.

Can I generate many addresses at once?

Yes, up to 100 per batch. Copy them all or download JSON or CSV. Places can repeat when a city has few postcodes, but every address in a batch is different.

Can I link to a batch or use it in a script?

Every country, region and city has its own page. Add ?count=25 to the page address to set the batch size, or add &format=json to get JSON.

All countries

247 countries and territories, 493,219 cities and towns, 1,632,591 postcode areas.

Europe 53

Asia 51

North America 41

South America 14

Africa 58

Oceania 27

Antarctica 3