What is the Counter-Trafficking Data Collaborative?

The Counter-Trafficking Data Collaborative is the first global data hub on human trafficking, publishing harmonized data from counter-trafficking organizations around the world. Launched in November 2017, the goal of CTDC is to break down information-sharing barriers and equip the counter-trafficking community with up to date, reliable data on human trafficking.

The global victim of trafficking dataset

The CTDC global victim of trafficking dataset is the largest of its kind in the world, and currently exists in two forms. The data are based on case management data, gathered from identified cases of human trafficking, disaggregated at the level of the individual. The cases are recorded in a case management system during the provision of protection and assistance services, or are logged when individuals contact a counter-trafficking hotline. The number of observations in the dataset increases as new records are added by the contributing organizations. The global victim of trafficking dataset that is available to download from the website in csv format has been mathematically anonymized, and the complete, non k-anonymized version of the dataset is displayed throughout the website through visualizations and charts showing detailed analysis.

Where do the data come from?

The data come from a variety of sources. The data featured in the global victim of trafficking dataset come from the assistance activities of the contributing organizations, including from case management services and from counter-trafficking hotline logs.

How are the global datasets created?

Each dataset has been created through a process of comparing and harmonizing existing data models of contributing partners and data classification systems. Initial areas of compatibility were identified to create a unified system for organizing and mapping data to a single standard. Each contributing organization transforms its data to this shared standard and any identifying information is removed before the datasets are made available.

How is the individual-level data protected?

Step 1

Counter-trafficking case data contains highly sensitive information, and maintaining privacy and confidentiality is of paramount importance for CTDC. For example, all explicit identifiers, such as names, were removed from the global victim dataset and some data such as age has been transformed into age ranges. No personally identifying information is transferred to or hosted by CTDC, and organizations that want to contribute are asked to anonymize in accordance to the standards set by CTDC.

Step 2

In addition to the safeguard measures outlined in step 1 the global victim dataset has been anonymized to a higher level, through a mathematical approach called k-anonymization. For a full description of k-anonymization, please refer to the definitions page.

IOM collects and processes data in accordance to its own Data Protection Policy. The other contributors adhere to relevant national and international standards through their policies for collecting and processing personal data.

How to interpret the data?

These data reflect the victims assisted/identified/referred/reported to the contributing organizations, which may not represent all victims identified within a country. Nevertheless, the larger the sample size for a given country (or, the more victims displayed on the map for a given country), the more representative the data are likely to be of the identified victim of trafficking population.

A larger number of identified victims of trafficking does not imply that there is a larger number of undetected victims of trafficking (i.e. a higher prevalence of trafficking).

In addition, samples of identified victims of trafficking cannot be considered random samples of the wider population of victims of trafficking (which includes unidentified victims), since counter-trafficking agencies may be more likely to identify some trafficking cases rather than others. However, with this caveat in mind, the profile of identified victims of trafficking tends to be considered as indicative of the profile of the wider population, given that the availability of other data sources is close to zero.

How does human trafficking case data relate to prevalence data?

There are currently no global or regional estimates of the prevalence of human trafficking. National estimates have been conducted in a few countries but they are also based on modelling of existing administrative data from identified cases and should therefore only be considered as basic baseline estimates. Historically, producing estimates of the prevalence of trafficking based on the collection of new primary data through surveys, for example, has been difficult. This is due to trafficking’s complicated legal definition and the challenges of a...

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The global counters market size was valued at approximately USD 1.2 billion in 2023 and is projected to grow to USD 2.2 billion by 2032, exhibiting a CAGR of 6.5% during the forecast period. The growth of this market is primarily driven by the increasing demand for automation and advanced monitoring systems across various industries such as manufacturing, healthcare, and transportation.

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Regionally, Asia Pacific dominates the counters market owing to the rapid industrialization and urbanization in the region. Countries such as China, India, and Japan are witnessing significant investments in industrial automation and smart city projects, which is driving the demand for counters. North America and Europe also hold substantial market shares due to the high adoption rate of advanced technologies and the presence of major market players. The Middle East & Africa and Latin America regions are anticipated to witness moderate growth, driven by the increasing focus on infrastructure development and industrialization.

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The counters market is segmented into three primary types: Mechanical Counters, Electronic Counters, and Electromechanical Counters. Mechanical counters, although traditional, still hold relevance in various sectors due to their simplicity and durability. These counters are widely used in applications where electronic counters may not be suitable, such as in harsh environmental conditions. The demand for mechanical counters is driven by their low cost, ease of use, and minimal maintenance requirements. They are commonly used in industrial machinery, water meters, and gas meters.

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The market drivers for the Counter UAS System Market can be influenced by various factors. These may include:

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Growth of Integrated Security Systems: The trend towards integrated security systems that combine various technologies (such as radar, RF detection, and camera systems) is supporting the adoption of C-UAS solutions. These comprehensive systems provide more reliable and effective drone detection and mitigation capabilities.

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