CPIs for Different Population Groups, Income Groups and ...€¦ · Presentation made at the Group...
Transcript of CPIs for Different Population Groups, Income Groups and ...€¦ · Presentation made at the Group...
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Presentation made at the Group Experts Meeting on
Consumer Price Indices in Geneva, Switzerland 2-4 May 2016
By Vincent Musoke Nsubuga Price Section Head
Uganda Bureau Of Statistics
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CPIs for Different Population Groups, Income Groups and Geographic Areas
The Presentation is a study about the inflation published depending on the geographical area within the economy, where the household Final consumption expenditure is allocated either the:
i. Household expenditure be allocated to the location (geographical areas) within the economy where transactions take place; or
ii. Household expenditure be allocated to the
location (geographical areas) within the economy where the households or individuals who make expenditure reside.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
The study picked one Elementary Aggregate (Product) in the Uganda CPI which is second hand vehicles :
The Uganda National CPI is compiled using data for both household expenditure (weights) and consumer prices from the urban areas;
The CPI has 10 consumption baskets of goods and services: three baskets for population income groups and 7 baskets for geographical areas.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Three baskets for population income groups:
i. Kampala High Income Basket;
ii. Kampala Middle Income Basket; and
iii. Kampala Low Income Basket
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CPIs for Different Population Groups, Income Groups and Geographic Areas
7 baskets for geographical areas:
Mbarara Basket;
Masaka Basket;
Mbale Basket;
Jinja Basket;
Gulu Basket;
Arua Basket; and
Fort Portal Basket
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Determination of the 10 consumption baskets.
Uganda is demarcated into five CPI Statistical regions: i. Kampala Region is the capital city and its
surrounding areas;
ii. Central Region;
iii. Northern Region;
iv. Western Region;
v. Eastern Region;
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Determination of the 10 consumption baskets.
i. Kampala Region is unique and treated differently.
The household final consumption expenditure for the Kampala Region is decomposed into three population income consumption baskets: Kampala High Income; Kampala Middle Income; and Kampala Low Income.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Determination of the 10 consumption baskets.
ii. Other Regions.
One consumption basket was selected for the central region;
Two consumption baskets were selected for each of the remaining three regions.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Current Practice of the Uganda CPI i. The current practice in Uganda is to allocate the
household consumption expenditure to the geographi9cal areas within the economy where the households that make such expenditure reside.
Thus, consumer prices for products that are not
available in the geographical areas where the expenditure were allocated are priced from other regions where the transactions take place.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Alternative approach - Study
ii. The second alternative which the study is investigating is to allocate household consumption expenditure within the economy to the geographical regions where transactions takes place.
In this case consumer prices are restricted to only those regions where the household transactions are held.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Methodology of the Study
iii. The study has picked one Elementary Aggregate (product) in the CPI which is second hand vehicles.
In the National CPI, substantial expenditure on that product was made by households from all the five regions.
However, for all the 5 regions, Kampala is the only region where transactions for second vehicles take place.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Methodology of the Study
The study proportionally re-allocated all the household expenditure on second hand vehicles from other four regions to the Kampala population income group baskets
Thereafter, recomputed the :
i. Weights; and
ii. CPI
for each of the 10 consumption baskets.
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Findings of the Weights
The results from this study show that the weights for each of the 10 consumption baskets and weights within each division of the basket changed slightly , apart from Mbarara and Kampala High Income Baskets;
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1.1 STUDY FINDINGS - WEIGHTS – 10 CONSUMPTION BASKETS
Consumption Basket Published Under Study % Change
Kampala High Income
31.3977 31.8633 1.5
Kampala Middle Income
15.6609 15.7268 0.4
Kampala Low Income
10.0069 10.0488 0.4
Mbarara
9.6752 9.4189 -2.6
Masaka
9.4693 9.3690 -1.1
Mbale
5.6799 5.6298 -0.9
Jinja
5.6522 5.6094 -0.8
Gulu
5.0414 4.9966 -0.9
Fortportal
3.7608 3.7177 -1.1
Arua
3.6557 3.6197 -1.0
Total 1000.0000 1000.0000
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1.1 STUDY FINDINGS - WEIGHTS – 10 CONSUMPTION BASKETS
3.6557
3.7608
5.0414
5.6522
5.6799
9.4693
9.6752
10.0069
15.6609
31.3976
3.6197
3.7177
4.9966
5.6094
5.6298
9.3690
9.4189
10.0488
15.7268
31.8632
0 5 10 15 20 25 30 35
Arua
Fortportal
Gulu
Jinja
Mbale
Masaka
Mbarara
Kampala Low Income
Kampala Middle Income
Kampala High Income
Weights per 100
Con
sum
pti
on
Bask
ets
Graph1: All Items CPI Weights for the 10 Consumption Baskets
Under Study
Published
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Findings of the Weights However, the results at division level particularly
for transport - where used vehicles are classified - indicate varying differences in weights, with Mbarara sub-region registering a substantial change from the published figures due to the relatively very large expenditure on second hand vehicles for the households of that region compared to the other regions in Uganda.
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1.1 STUDY RESULTS – TRANSPORT WEIGHTS – 10 CONSUMPTION BASKETS
Consumption Basket Published Under Study % Change
Kampala High Income
6.2519 6.6844 6.9
Kampala Middle Income
1.7423 1.7900 2.7
Kampala Low Income
1.0298 1.0598 2.9
Mbarara
1.2410 0.9735 -21.6
Masaka
1.0389 0.9275 -10.7
Mbale
0.5145 0.4576 -11.1
Jinja
0.6317 0.5822 -7.8
Gulu
0.5214 0.4706 -9.7
Fortportal
0.4131 0.3656 -11.5
Arua
0.3945 0.3542 -10.2
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1.1 STUDY RESULTS – TRANSPORT WEIGHTS – 10 CONSUMPTION BASKETS
0.3945
0.4131
0.5214
0.6317
0.5145
1.0389
1.2410
1.0298
1.7423
6.2519
0.3542
0.3656
0.4706
0.5822
0.4576
0.9275
0.9735
1.0598
1.7900
6.6844
0 1 2 3 4 5 6 7 8
Arua
Fortportal
Gulu
Jinja
Mbale
Masaka
Mbarara
Kampala Low Income
Kampala Middle Income
Kampala High Income
Weights per 100
Con
sum
pti
on
Bask
ets
Graph2: Transport Division
Weights for the 10 Consumption Baskets
Under Study
Published
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ANNUAL INFLATION
ALL ITEMS
10 CONSUMPTION BASKETS
19
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Findings of the Annual Inflation
There is no significant difference in the All Items Annual Inflation for each of the consumption baskets in both the published and these findings
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
0.0
5.0
10.0
15.0
20.0
25.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ALL ITEMS INFLATION RATES KAMPALA HIGH INCOME
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ALL ITEMS ANNUAL INFLATION KAMPALA MIDDLE INCOME
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ALL ITEMS ANNUAL INFLATION KAMPALA LOW INCOME
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION ALL ITEMS MBARARA
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION ALL ITEMS MASAKA
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION ALL ITEMS MBALE
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION ALL ITEMS JINJA
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION ALL ITEMS GULU
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION ALL ITEMS ARUA
Published
Under study
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1.1 STUDY RESULTS ANNUAL INFLATION - ALL TEMS
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION ALL ITEMS FORT PORTAL
Published
Under study
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ANNUAL INFLATION
TRANSPORT DIVISION
10 CONSUMPTION BASKETS
31
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CPIs for Different Population Groups, Income Groups and Geographic Areas
Findings of the Annual Inflation
However, the results for the transport division indicate varying differences in annual inflation , with Mbarara sub-region registering a substantial change from the published figures
32
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION KAMPALA HIGH INCOME
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-10.0
-5.0
0.0
5.0
10.0
15.0
20.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION KAMPALA MIDDLE INCOME
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-10.0
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION KAMPALA LOW INCOME
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION MASAKA
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-5.0
0.0
5.0
10.0
15.0
20.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION MBALE
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION JINJA
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION GULU
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-10.0
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION ARUA
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-10.0
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION FORT PORTAL
Published
Under study
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1.2 STUDY RESULTS ANNUAL INFLATION - TRANPORT
-10.0
-5.0
0.0
5.0
10.0
15.0
20.0
25.0
Jul-
11
Sep
-11
No
v-11
Jan
-12
Mar
-12
May
-12
Jul-
12
Sep
-12
No
v-12
Jan
-13
Mar
-13
May
-13
Jul-
13
Sep
-13
No
v-13
Jan
-14
Mar
-14
May
-14
Jul-
14
Sep
-14
No
v-14
Jan
-15
Mar
-15
May
-15
Jul-
15
Sep
-15
No
v-15
Jan
-16
Mar
-16
AN
NU
AL
INF
LA
TIO
N R
AT
ES
MONTH ENDING
ANNUAL INFLATION TRANSPORT DIVISION MBARARA
Published
Under study
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CPIs for Different Population Groups, Income Groups and Geographic Areas
General Findings of the Study
It appears, therefore, that the differences at the division level annual inflation depend on the importance (weight) of a given item being priced.
Hence a choice has to be made between including such an item from where actual consumption takes place, or exclude the item and include it in the Capital City from where households purchase it.
These findings should help price statisticians in understanding the implication of the pricing options they employ in compiling regional (Sub-national) CPIs
43
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Recommendations and Conclusions
i. The conclusion from the study where the All Items
Index has not changed should not be taken globally ;
ii. The study should be expanded to other products that follow under the same category;
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Recommendations and Conclusions
iii. Regional Economic Communities (RECs) or Sub-Regional Organizations (SROs) that compile the Harmonised Consumer Price Indices (HCPI) should ensure that all regional member countries do follow the same approach of allocating household expenditure of the consumption baskets within the their economies
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END OF THE PRESENTATION
46