# data[].attributes.body
There are many indicators to SUD fraught with limitations.
Given that the meaning of SUD is already is broad and ambiguous, the issue of excess of indicators which are subjected to measure makes the concept of measuring SUD challenging

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Presence of informal sector**

* The informal sector refers to jobs and industries that do not pay taxes and are not accounted for in the GDP.

*

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Low income countries are defined as those with a GNI per capita, calculated using the World Bank Atlas method, of $1,045 or less in 2020

# data[].attributes.subject
Low income countries are defined as those with a GNI per capita, calculated using the World Bank Atlas method, of $1,045 or less in 2020

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High-income countries would benefit from the greater accuracy of measurement brought by technology, which will allow then to accurately measure their rate of SUD over a larger scale and the inexpensive nature of technology will encourage them to place measurement of SUD at a higher priority.

# data[].attributes.subject
High-income countries would benefit from the greater accuracy of measurement brought by technology, which will allow then to accurately measure their rate of SUD over a larger scale and the inexpensive nature of technology will encourage them to place measurement of SUD at a higher priority.

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Subjectivity of Concept of Liveability** * As mentioned above, liveability as a concept is extremely subjective and to truly measure liveability in the cities of low development can be difficult as urban dwellers even within the same city has different views and opinions about liveability.

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Changes in technologies that may change the way we measure sustainable development may make it easier to measure however such technologies require massive amounts of data that may be hard to get or challenging to account for especially in lower in come countries where technology and local statistics and data is not readily available at times  

# data[].attributes.subject
Changes in technologies that may change the way we measure sustainable development may make it easier to measure however such technologies require massive amounts of data that may be hard to get or challenging to account for especially in lower in come countries where technology and local statistics and data is not readily available at times  

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with the growing pressure to attain sustainable development, I believe that a globally agreed upon measurement would be created, hence allowing for greater accuracy and focus on the measurement of sustainable development.

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Technology allows low income countries to gain the resources required to accurately measure data

# data[].attributes.body
Proper data collection requires a lot of money and a stable economy to fund data systems. Some countries however, cannot afford to pay for these, and instead fall back on collecting data by hand, which may not be accurate and detailed. It also takes a lot of time to upload paper findings into whatever present data systems.

Without the timely updating of important data in a digital setting, it is difficult for the governing bodies to identify and tackle issues hindering sustainable urban development in their region. The lack of complex and sophisticated data like population dynamic, makes it difficult for the relevant authorities to come up with nuanced policies to promote sustainable urban development.

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Technology is effective and inexpensive in measuring the rate of sustainability within low-come countries.

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Certain indexes are flawed and as such may not accurately take in to account necessary factors that may take part the struggle to measure sustainability of Lower Income Countries 

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Certain indexes are flawed and as such may not accurately take in to account necessary factors that may take part the struggle to measure sustainability of Lower Income Countries 

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While we are focusing on Low-income countries, we can argue that the availability of resources that can measures SUD might be limited. Also, low income countries lacks proper incentives that in order to pursue SUD.

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Difficulty in Gathering Reliable and Accurate Data** * Even if one were to ignore the difficulty of using the same basket of measurements to compare cities of different contexts and insist on using the indicators to assess a city’s liveability, it would be difficult to attain reliable data for meaningful assessment in the cities of low levels of development.

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It is hard to measure sustainable development due to it not having a universal definition. Sustainable development encompasses many areas such as economy, environment and the population.

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It is hard to measure sustainable development due to it not having a universal definition. Sustainable development encompasses many areas such as economy, environment and the population.

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Defining sustainable development for lower income countries is not easy

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Defining sustainable development for lower income countries is not easy

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- Lack of a consistent and unanimously agreed upon measurement of SUD globally

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- Lack of a consistent and unanimously agreed upon measurement of SUD globally

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Hard to collect data due to the availability of resources, which is heavily dependent on the level of development of a country. 

# data[].attributes.subject
Hard to collect data due to the availability of resources, which is heavily dependent on the level of development of a country. 

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Relative inaccessibility to collect primary data from lower income countries due to basic or inadequate infrastructure. 

# data[].attributes.subject
Relative inaccessibility to collect primary data from lower income countries due to basic or inadequate infrastructure. 

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Lack of a consistent and unanimously agreed upon measurement of SUD globally.

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Indices place differing importance on indicators that are not unanimously agreed upon to be of high priority

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Might not realise significance of measuring SUD due to lack of education and knowledge towards the situation. 

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Might not realise significance of measuring SUD due to lack of education and knowledge towards the situation. 

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Bias of Indicators*
* It is difficult to measure livability in cities of low level of development in accordance to the basket of indicators as stipulated by many in the liveability indexes as the basis of these comparisons may be western-centric. A good example would be The Mercer Quality of Living Survey ranks cities on their quality of life.

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The simple nature of indicators for easy measures causes a lack in depth of measurement.

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lack of established government information sources

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lack of established government information sources

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Hard to collect data due to high cost of data collection

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Hard to collect data due to high cost of data collection