Quantitative and Qualitative Data

Whether it is business, marketing, physical science, social science for other field of study, data place vital role. That’s why, in all of these processes that involves the usage of information and knowledge, one of the very first step is data collection.

There are two main types of data that uses find themselves working with and having to collect.
 1. Quantitative Data
2. Qualitative Data
Quantitative Data
These are data that deals with quantities, values or number making the measurable.

This data are usually express in numerical form search length, size, amount, price and even duration.

Key Features:
  1. It can be quantified and verified.
  2. Data can be counted.
  3. Data type: number and statistics
  1. Scores on test and exams that is 85, 90, 67 etc.
  2. The weight of a person.
  3. Number of hours of study.
  4. Your shoe size.
  5. The temperature in a room.
Qualitative Data
This data on the other hand, deals with quality so that they are descriptive rather than numerical in nature.
Unlike quantitative data, they are generally not measurable and are only gain mostly through observation.
This data consist of words, colours, appearance, observation and symbols not numbers. It is about qualities.
Key Features:
  1. It cannot be quantified and verified.
  2. It cannot be counted.
  3. Data type: words, objects, pictures, observation and symbols.
  4. ITE answers questions such as “how this has happened” or “why this has happened”.
  1. Your social status e.g. respect, honesty, honour.
  2. Colours e.g. colour of the sea.
  3. Number of hours of study.
  4. Smell e.g. aromatic, buttery.
  5. Your favourite holiday destination such as New Zealand, London, Paris.


In most cases, these two data types are used as preferences in choosing the method or tool to be used in data collection. As a matter of fact data collection methods are classified into two you and they are based on this type of data. Does we can say that there are to measure classification or categories of data Collection methods: the quantitative data and qualitative data.

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