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  4. > Angola Autos Report Q3 2016

Angola Autos Report Q3 2016

  • May 2016
  • -
  • Business Monitor International
  • -
  • 26 pages

Includes 3 FREE quarterly updates

BMI View: We expect vehicle sales in 2016 to fall by 19.0% as inflationary pressures driven by aweakening currency and high domestic fuel prices weigh on the purchasing power of the Angolan consumerand keep vehicle import prices elevated, leading to a challenging year for the autos industry.

Table: Key Views

- Passenger vehicle sales will contract by 19.0% in 2016.

- High domestic fuel prices due to the removal of fuel subsidies will put upward pressure on inflation and weakenconsumer purchasing power.

- Further currency devaluations in 2016 will raise vehicle import costs.

- High interest rates will dampen credit growth and make vehicle financing less attractive.

Table Of Contents

Angola Autos Report Q3 2016
BMI Industry View 5
Key Views 6
Table: Key Views 6
SWOT 7
Industry Forecast 8
Industry Forecast Scenario 8
Table: Autos Total Market - Historical Data And Forecasts (Angola 2014-2020) 8
Latest Developments 8
Table: Latest Developments 8
Structural Trends 8
Industry Risk Reward Index 12
Sub-Saharan Africa - Risk/Reward Index 12
Average Scores Show Room For Improvement 12
Manufacturers Among Outperformers 13
Middle Ground Shows Potential Movers 13
Regional Overview 15
Sub-Saharan Africa Overview 15
Table: Sub-Saharan Africa Autos Production Investment 15
Export Potential Lures Investment 16
Kenya Becoming CV Hub 16
Nigeria Still Unlikely As A Hub 17
Demographic Forecast 18
Demographic Outlook 18
Table: Population Headline Indicators (Angola 1990-2025) 19
Table: Key Population Ratios (Angola 1990-2025) 19
Table: Urban/Rural Population and Life Expectancy (Angola 1990-2025) 20
Table: Population By Age Group (Angola 1990-2025) 20
Table: Population By Age Group % (Angola 1990-2025) 21
Methodology 23
Industry Forecasts 23
Sector-Specific Methodology 24
Sources 24
Risk/Reward Index Methodology 25
Table: Automotive Risk/Reward Index Indicators And Weighting Of Indicators 26

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