Tuesday
Mar142017

Consumer Price Index for South Sudan February 2017

The South Sudan annual Consumer Price Index (CPI) increased by 425.9% from February 2016 to February 2017. The increased was mainly driven by high price in food and non-alcoholic beverages.
The annual CPI increased in Juba by 409.5% and in Wau by 295.8% from February 2016 to February 2017.
The South Sudan monthly CPI increased by 32.2% from January 2017 to February 2017. The monthly CPI increased by 36.4% in Juba and increased in Wau by 17.8%.

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Data

Tuesday
Mar142017

Consumer Price Index for South Sudan January 2017

The South Sudan annual Consumer Price Index (CPI) increased by 371.8% from January 2016 to January
2017. The increased was mainly driven by high price in food and non-alcoholic beverages.
The annual CPI increased in Juba by 345.8% and in Wau by 303.9% from January 2016 to January 2017.
The South Sudan monthly CPI decreased by 0.5% from December 2016 to January 2017. The monthly
CPI increased by 2% in Juba and increased in Wau by 2%.

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Dataset

Friday
Feb172017

MARKET PRICE SURVEY DATA OCTOBER 2015

he High Frequency South Sudan Survey (HFSSS) uses tablet computers to collect real-time data and is currently being carried out in Aweil, Juba, Rumbek, Torit, Wau and Yambio. However, pilot data from April 2012 to October 2014 is included for Juba, Malakal, Rumbek and Wau. The aim of the survey is to provide the Government of South Sudan with high frequency, high quality data on social, economic and security conditions in the country. The survey collects data on market prices, exchange rates and household welfare in these major towns.

The National Bureau of Statistics in collaboration with the World Bank is pleased to publish further results from the HFSSS in particular market price survey. Prices are collected for twenty retail products and eight wholesale products (the complete list of products can be found at the end of this document) sold in local markets to track changes in price. These products were selected by the NBS and constitute a subset of products from the South Sudan Consumer Price Index (CPI) that have high weights and are considered important for household wellbeing. These are primarily food items, petrol and charcoal. 

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Friday
Feb172017

HFSSS EXCHANGE RATE DATA FOR SEPTEMBER 2015

The National Bureau of Statistics in collaboration with the World Bank is pleased to release further results for the Exchange Rate Survey, which is part of the High Frequency South Sudan Survey (see technical notes for more information). The survey uses handheld tablet computers to collect real- time data and is currently being carried out in Aweil, Juba, Rumbek, Torit, Wau and Yambio. However, pilot data from April 2012 to October 2014 is included for Juba, Malakal, Rumbek and Wau.

The high frequency exchange Rate Survey collects daily buying and selling prices for USD in Aweil, Juba, Rumbek, Torit, Wau and Yambio. That is, how many SSP are required on the black market to buy 100 USD (buying price), and how many SSP are obtained by selling 100 USD (selling price). Daily data are available on the NBS website. The enclosed graphs below show the average daily midpoint of these data. 

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Friday
Feb172017

HFSSS EXCHANGE RATE DATA FOR AUGUST 2015

The National Bureau of Statistics in collaboration with the World Bank is pleased to release further results for the Exchange Rate Survey, which is part of the High Frequency South Sudan Survey (see technical notes for more information). The survey uses handheld tablet computers to collect real- time data and is currently being carried out in Aweil, Juba, Rumbek, Torit, Wau and Yambio. However, pilot data from April 2012 to October 2014 is included for Juba, Malakal, Rumbek and Wau.

The high frequency exchange Rate Survey collects daily buying and selling prices for USD in Aweil, Juba, Rumbek, Torit, Wau and Yambio. That is, how many SSP are required on the black market to buy 100 USD (buying price), and how many SSP are obtained by selling 100 USD (selling price). Daily data are available on the NBS website. The enclosed graphs below show the average daily midpoint of these data. 

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