2019

Year In Calling

A look back on how the world communicated using Truecaller

199,000,000
spam numbers

Truecaller has helped save you from 199 million spam numbers in 2019.

26,000,000,000
spam calls

That means Truecaller has blocked and identified 26 billion spam calls.

8,600,000,000
spam sms

A total of 8.6 billion spam SMS has been identified and blocked by Truecaller.

Average spam calls per users / month

  • Brazil

    45.6
    37.5
  • Peru

    30.9
    19.8
  • Indonesia

    27.9
    9.9
  • Mexico

    25.7
    20.9
  • India

    25.6
    22.3
2019
2018
Want to know more? View our full reports of the Top 20 Countries Affected by Spam Calls in 2019 and 2018.
India

109,000,000 calls by just one spammer in India

Nigeria

13,000,000 calls by just one spammer in Nigeria

Women's Safety Initiative

Truecaller stands against call and SMS harassment, and has made it an initiative to focus on women's safety and empowerment around the world. On Women's Day 2019, Truecaller launched #ItsNOTOK - Against Harassment to share the research and stories behind SMS and call harassment.

1 out of 3 women in India receive sexual and inappropriate calls or SMS.
Out of these women, 52% gets inappropriate and sexual related calls at least once a week.

In 2019, Truecaller helped solve major cases

Want to know how else Truecaller helps?
Visit our impact page

150,000,000

people use Truecaller every day, to keep their communication more safe and efficient.

21,700,000,000

calls made

3,400,000,000

messages

74,000,000,000

calls identified

17,400,000,000

messages identified

World map Chad
Chad made the most calls per user
Afghanistan
Afghanistan sent the most amount of messages per user
Taiwan

Taiwan made the least amount of calls and sent the least amount of messages per user

Thank you to our Truecaller Community for a great #YearinCalling 2019!

Notes & Methodology

The data in this article was aggregated anonymously from incoming and outgoing calls & messages during the period of January 1st, 2019 to October 31, 2019. No context of any calls or messages were read. During this period of time we helped our users identify 116 billion calls and helped identify 8.6 billion spam SMS globally.

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