As of 2019, the age-standardized incidence rate for lung cancer in males was highest among the colored population group, with ***** cases reported per 100,000 population. This is a significant drop compared to 2018, which reported ***** incidences and ***** deaths per 100,000 population.

Two datasets that explore causes of death due to cancer in South Africa, drawing on data from the Revised Burden of Disease estimates for the Comparative Risk Factor Assessment for South Africa, 2000.

The number and percentage of deaths due to cancer by cause are ranked for persons, males and females in the tables below.

Lung cancer is the leading cause of cancer in SA accounting for 17% of all cancer deaths. This is followed by oesophagus Ca which accounts for 13%, cervix cancer accounting for 8%, breast cancer accounting for 8% and liver cancer which accounts for 6% of all cancers. Many more males suffer from lung and oesophagus cancer than females.

As of 2018, age-standardized mortality rate for lung cancer in males was highest amongst the colored population group with ***** deaths per 100,000 population. The Indian/Asian population group followed with ***** deceases per 100,000 population in the same year. The high rate for colored males could be attributed to smoking or scarring on the lungs caused by tuberculosis.

The global non-small cell lung cancer market garnered a market value of US$ 10 Billion in 2023 and is expected to accumulate a market value of US$ 20 Billion by registering a CAGR of 7.2% in the forecast period 2023 to 2033. This rapid expansion can be ascribed to an expanding patient population, the anticipated introduction of many medications, and increased expenditure by market players in NSCLC research and development.

Data Points	Key Statistics
Expected Market Value (2023)	US$ 10 Billion
Anticipated Forecast Value (2033)	US$ 20 Billion
Projected Growth Rate (2023 to 2033)	7.2% CAGR

Report Scope

Report Attribute	Details
Market Value in 2023	US$ 10 Billion
Market Value in 2033	US$ 20 Billion
Growth Rate	CAGR of 7.2% from 2022 to 2032
Base Year for Estimation	2022
Historical Data	2018 to 2022
Forecast Period	2023 to 2033
Quantitative Units	Revenue in US$ Billion and CAGR from 2023 to 2033
Report Coverage	Revenue Forecast, Company Ranking, Competitive Landscape, Growth Factors, Trends, and Pricing Analysis
Segments Covered	Cancer Type Treatment Region
Regions Covered	North America Latin America Europe Asia Pacific Middle East & Africa
Key Countries Profiled	USA Canada Brazil Mexico Germany UK France Spain Italy China Japan South Korea Singapore Thailand Indonesia Australia New Zealand GCC Countries South Africa Israel
Key Companies Profiled	F. Hoffmann-La Roche Ltd. Bristol-Myers Squibb Company Pfizer Inc. AstraZeneca Novartis AG Eli Lilly and Company Merck & Co., Inc. Boehringer Ingelheim International GmbH Sanofi Astellas Pharma Inc.
Customization	Available Upon Request

South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data was reported at 66.000 NA in 2016. South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data is updated yearly, averaging 66.000 NA from Dec 2016 (Median) to 2016, with 1 observations. South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data was reported at 118.000 NA in 2016. South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data is updated yearly, averaging 118.000 NA from Dec 2016 (Median) to 2016, with 1 observations. South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: Age-standardized: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data was reported at 86.700 Ratio in 2016. South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data is updated yearly, averaging 86.700 Ratio from Dec 2016 (Median) to 2016, with 1 observations. South Africa ZA: Mortality Rate Attributed to Household and Ambient Air Pollution: per 100,000 Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank: Health Statistics. Mortality rate attributed to household and ambient air pollution is the number of deaths attributable to the joint effects of household and ambient air pollution in a year per 100,000 population. The rates are age-standardized. Following diseases are taken into account: acute respiratory infections (estimated for all ages); cerebrovascular diseases in adults (estimated above 25 years); ischaemic heart diseases in adults (estimated above 25 years); chronic obstructive pulmonary disease in adults (estimated above 25 years); and lung cancer in adults (estimated above 25 years).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

description: This dataset contains descriptions and analytical data (i.e., electron microprobe, X-ray diffraction, spectral reflectance, and scanning electron microprobe analyses) for expanded vermiculite samples. These data are provided for 52 samples of vermiculite attic insulation, horticultural products, aggregate, and packing materials derived from mines near Enoree, South Carolina; Libby, Montana; Louisa, Virginia; Palabora, South Africa; and Jiangsu, China collected from 2000 to 2016. Tables of electron microprobe and spectral absorption information are also included along with ascii listings of spectral reflectance for each sample. Some of these samples, particularly the ones from Libby, Montana contain bundles of elongate amphibole capable of causing asbestosis, lung cancer, and mesothelioma.; abstract: This dataset contains descriptions and analytical data (i.e., electron microprobe, X-ray diffraction, spectral reflectance, and scanning electron microprobe analyses) for expanded vermiculite samples. These data are provided for 52 samples of vermiculite attic insulation, horticultural products, aggregate, and packing materials derived from mines near Enoree, South Carolina; Libby, Montana; Louisa, Virginia; Palabora, South Africa; and Jiangsu, China collected from 2000 to 2016. Tables of electron microprobe and spectral absorption information are also included along with ascii listings of spectral reflectance for each sample. Some of these samples, particularly the ones from Libby, Montana contain bundles of elongate amphibole capable of causing asbestosis, lung cancer, and mesothelioma.

This statistic displays the global average prices of Keytruda in 2017 in selected countries. In that year, the price of Keytruda averaged six U.S. dollars in South Africa. Keytruda is an administered drug used in cancer immunotherapy to treat various types of cancer including melanoma and lung cancer.