This report contains the U.S. Depart­ment of State in­dexes of living
costs abroad, quarters allow­ances, hard­ship differ­en­tials, and danger
pay allowances. The sta­tistics are comput­ed by the Office of Allowances
of the Depart­ment of State for use in establish­ing allow­ances to
com­pen­sate U.S. Government civil­ian employ­ees for costs and hard­ships
related to as­signments abroad. This in­for­mation is also used by many
bus­iness firms and other private organi­za­tions to assist in establish­ing
private com­pen­sa­tion systems. The data are pub­lished quarterly in
Jan­u­ary, April, July, and Oc­tober.

Please note that the reports for April, July and October contain only
the cost of living indexes, quarters allowances, and hardship
differentials for those locations that have changed since the previous
report. Indexes for all locations required to report will continue to
appear in the January editions of this publication.

The Compensation of American Government Employees in Foreign Countries
and detailed explanations of the met­hods of compil­ing the local and U.S.
Government indexes, quar­ters al­low­ances, hardship differentials, and
danger pay allowances are included in the Technical Notes sec­tions each
January. It is important that al­lowance data us­ers be thorough­ly
familiar with the methods used in compil­ing these sta­tistics and their
limitations. The data are com­piled primarily to estab­lish allow­ances for
Fed­eral civilian em­ploy­ees abroad, and the govern­ment allowance pro­gram
includes additional reloca­tion benefits which are de­scribed at the
beginning of the Technical Notes included in each January publication.

**Indexes of Living Costs Abroad**

The indexes of living costs (Ta­ble 1) are used to com­pute cost-of-living
allowan­ces for employees at posts where living costs, based on an
American pat­tern of living, are sig­nifi­cantly higher than in the
Wash­ing­ton, D.C. area. To com­pute a cost-of-living allow­ance, the
appropriate index of living costs is applied to spen­dable incomethe
estimat­ed por­tion of em­ploy­ee salary used to pur­chase goods and
services. The cost-of-living allow­ance is a goods and ser­vices
allow­ance. It does not cover U.S. or for­eign income taxes, retire­ment
contri­bu­tions, life in­sur­ance premi­ums, personal sav­ings, in­vest­ments or
charitable contribu­tions. In addi­tion, it does not cover hous­ing and
children\'s educa­tion, which are cov­ered by sepa­rate allow­ances.

The indexes of living costs abroad com­pare the costs in dol­lars of
represen­tative goods and services (excluding hous­ing and education)
purchased at the foreign location and the cost of com­parable goods and
ser­vices in the Washing­ton, D.C. area. The index­es are calculated on the
basis of price data reported by for­eign posts using a stand­ard *Retail
Price Schedule* and data similarly reported by the Bureau of Labor
Sta­tis­tics of the U.S. Department of Labor for the Washington, D.C.
area.

In addition to the indexes used to es­tablish post (cost-of-liv­ing)
allowances for U.S. Govern­ment employ­ees, separate indexes are computed
solely for private Ameri­cans living abroad. The indexes com­puted for
private American employeesthe local relative and local in­dexexclude
special advan­tages that may be avail­able only to U.S. Gov­ernment
employ­ees. The U.S. Gov­ern­ment relative and the U.S. Gov­ernment index
must in­clude prices of goods im­ported to posts, sales tax re­bates,
mili­tary or employee op­er­ated post commissaries, and the advan­tag­es that
may be available only to U.S. Gov­ern­ment employ­ees. The in­dexes are
published for all loca­tions for which reliable in­dex­es are com­puted
regularly.

The indexes are place-to-place com­parisons at specific times and
currency exchange rates. They cannot be used for measur­ing cost changes
over time at a foreign location. Also, the in­dex­es should not be used to
com­pare living costs of Ameri­cans in the United States with the living
costs of foreign na­tion­als living in their own country, since the
indexes reflect only the expenditure pattern and living costs of
Ameri­can fami­lies.

![](media/image3.wmf)

Bureau of Administration

Office of Allowances

*Revised April 2005*

**Visit our HOMEPAGE at:**

**www.state.gov/m/a/als/ qtrpt**

**Quarters Allowances**

The quarters allowances (Table 2) are the maximum allowances payable to
U.S. Government employees to cover housing costs at the foreign
location. Employees recruited in the United States to work abroad for
the U.S. Government may receive either free government housing or an
allowance to substantially cover the cost of privately rented housing.
The allowance payable to a Federal civilian employee is either the
amount of actual housing costs or the maximum allowance, whichever is
less.

The quarters allowance reimburses federal employees for rent;
electricity, gas, fuel, and water; taxes and insurance premiums required
by local law or custom to be paid by the tenant; and the agent\'s fee
required by law or custom to be paid by the tenant as a condition of
obtaining a lease. The allowance may also be used to cover some of the
costs for garage rent and neces­sary furni­ture rental.

Quarters allowances are established on the basis of annual expe­ndi­ture
reports submitted by all U.S. Government civil­ian em­ployees in private
housing abroad. Maxi­mum allow­anc­es are established for employees of
various Federal grade levels and family sizes. For publication purposes,
approxi­mate sala­ry levels for each Federal grade level are indicat­ed in
Table 2. The family rate shown in the table is for an em­ployee with one
family mem­ber. The additional amounts for larger families are de­scribed
in footnote 4 to Table 2. The quarters data are pub­lished for selected
loca­tions. The allow­ance rates established at the time of the annu­al
sur­vey are designed to fully reim­burse approximately 80 percent of the
employ­ees in the sample for all allow­able rent and household utility
ex­penditures.

**Post (Hardship) Differentials**

Post differentials (Table 3) are provided to Federal employ­ees,
recruited in the United States, as for­eign area re­cruitment and
retention incentives. A differ­ential is estab­lished where living
condi­tions for U.S.G. employees are ex­traordinarily difficult, physical
hardships are exces­sive, or living conditions are notably unhealthful.

The differential rate for each location is based pri­marily on a standard
evaluation of environmental con­ditions as reported in the *Post
(Hardship) Differential Question­naire*. The overall rating results from
an examination of 150 specific environ­mental factors, weighted for their
relative importance. Depending on the total hardship rating, employees
are paid post differentials of 5, 10, 15, 20, or 25 per­cent of base
salary. The maximum amount that Federal em­ployees can currently receive
as combined annual base salary and hard­ship differ­ential is \$180,100.
Any post dif­fer­ential paid federal em­ploy­ees is subject to federal
in­come tax.

**Danger Pay Allowances**

A danger pay allowance may be paid to Federal civilian em­ploy­ees when
civil insurrection, civil war, terrorism, or war­time condi­tions threaten
physical harm or pose imminent danger to the health or well-being of the
employ­ee. Loca­tions autho­rized danger pay allowances are identified by
footnotes in Table 3. Conditions that may warrant a danger pay
determi­nation are reported in the *Dan­ger Pay Factors Form*. De­pending
upon the level of danger, levels of 15, 20, and 25 percent of base
salary are authorized.

Danger pay allowances may be paid to employees on tem­porary detail at a
danger pay location for at least 4 cumulative hours in a 24 hour period.
The danger pay allowance paid to federal employees is subject to federal
income tax.

**Technical Information**

Technical notes for the Compensation of American Government Employees in
Foreign Countries; Computation of Indexes of Living Costs Abroad; Post
(Hardship) Differentials and Danger Pay Allowances are included with the
January publication. Technical questions may be directed to the Office
of Allowances, Room L314, SA−01, U.S. Department of State, Wash­ington,
D.C. 20522−0103 (202−663−1121).

**Table 1. Indexes of Living Costs Abroad, April 2005**

**(Washington, D.C. = 100)**

**(The April, July & October publications will contain only indexes for
locations that changed since the previous publication.)**

+------------------+---------+--------+-----+-----+-----+-----+----+
| **Country and    | **S     | **Ex   |     | **L |     | **  |    |
| City**           | urvey** | change |     | oca |     | U.S |    |
|                  |         | Rat    |     | l^2 |     | .** |    |
|                  | *       | e^1^** |     | ^** |     |     |    |
|                  | *Date** |        |     |     |     | **  |    |
|                  |         |        |     |     |     | Gov |    |
|                  |         |        |     |     |     | ern |    |
|                  |         |        |     |     |     | men |    |
|                  |         |        |     |     |     | t^3 |    |
|                  |         |        |     |     |     | ^** |    |
+------------------+---------+--------+-----+-----+-----+-----+----+
|                  |         | ## F   | *   | **R | **I | **R | *  |
|                  |         | oreign | *Nu | ela | nde | ela | *I |
|                  |         |        | mbe | tiv | x** | tiv | nd |
|                  |         | **     | r** | e** |     | e** | ex |
|                  |         | Unit** |     |     |     |     | ** |
|                  |         |        | **  |     |     |     |    |
|                  |         |        | Per |     |     |     |    |
|                  |         |        | US\ |     |     |     |    |
|                  |         |        | $** |     |     |     |    |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Argentina:       | 1       | Peso   | 2   | 84  | 81  | 81  | 78 |
| Buenos Aires     | /5/2005 |        | .98 |     |     |     |    |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Armenia: Yerevan | 2/      | Dram   | 483 | 114 | 117 | 94  | 97 |
|                  | 15/2005 |        |     |     |     |     |    |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Belarus: Minsk   | 11      | Ruble  | 2   | 127 | 127 | 109 | 1  |
|                  | /4/2004 |        | 173 |     |     |     | 08 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| China: Beijing   | 7/      | Re     | 8   | 116 | 123 | 106 | 1  |
|                  | 15/2004 | nminbi | .27 |     |     |     | 10 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Costa Rica: San  | 1       | Colon  | 457 | 95  | 105 | 92  | 1  |
| Jose             | /3/2005 |        |     |     |     |     | 02 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Ecuador: Quito   | 1/      | Dollar | 1   | 123 | 126 | 111 | 1  |
|                  | 17/2005 |        | .00 |     |     |     | 13 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| El Salvador: San | 1/      | Dollar | 1   | 94  | 104 | 90  | 1  |
| Salvador         | 31/2005 |        | .00 |     |     |     | 00 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Ethiopia: Addis  | 2/      | Birr   | 8   | 118 | 118 | 108 | 1  |
| Ababa            | 15/2005 |        | .65 |     |     |     | 08 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Gambia, The:     | 12      | Dalasi | 29  | 101 | 118 | 95  | 1  |
| Banjul           | /1/2004 |        |     |     |     |     | 10 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Haiti:           | 1       | Gourde | 3   | 118 | 121 | 110 | 1  |
| Port-au-Prince   | /6/2005 |        | 5.8 |     |     |     | 12 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Jamaica:         | 12/     | Dollar | 6   | 107 | 110 | 103 | 1  |
| Kingston         | 29/2004 |        | 0.3 |     |     |     | 06 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Kenya: Nairobi   | 1/      | Sh     | 7   | 127 | 133 | 112 | 1  |
|                  | 15/2005 | illing | 3.9 |     |     |     | 17 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Lesotho: Maseru  | 11/     | Maloti | 6   | 107 | 109 | 108 | 1  |
|                  | 22/2004 |        | .12 |     |     |     | 10 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Mali: Bamako     | 12/     | CFA    | 506 | 127 | 135 | 114 | 1  |
|                  | 10/2004 | Franc  |     |     |     |     | 23 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Norway: Oslo     | 1/      | Kroner | 6   | 199 | 199 | 167 | 1  |
|                  | 18/2005 |        | .07 |     |     |     | 70 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Pakistan:        | 12/     | Rupee  | 5   | 98  | 102 | 93  | 98 |
| Islamabad (incl. | 10/2004 |        | 9.5 |     |     |     |    |
| Rawalpindi)      |         |        |     |     |     |     |    |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Palau, Republic  | 3/      | US     | 1   | 101 | 104 | 101 | 1  |
| of: Koror        | 23/2005 | Dollar | .00 |     |     |     | 04 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Russia: Moscow   | 2       | Ruble  | 28  | 143 | 144 | 117 | 1  |
|                  | /8/2005 |        |     |     |     |     | 19 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Rwanda: Kigali   | 12/     | Franc  | 569 | 120 | 126 | 101 | 1  |
|                  | 20/2004 |        |     |     |     |     | 06 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Serbia and       | 12      | New    | 5   | 126 | 124 | 111 | 1  |
| Montenegro:      | /9/2004 | Dinar  | 9.8 |     |     |     | 09 |
| Belgrade         |         |        |     |     |     |     |    |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Sierra Leone:    | 12/     | Leone  | 2   | 112 | 124 | 103 | 1  |
| Freetown         | 29/2004 |        | 847 |     |     |     | 14 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| South Africa:    | 8/      | Rand   | 6   | 129 | 129 | 124 | 1  |
| Johannesburg     | 30/2004 |        | .11 |     |     |     | 23 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Turkey: Istanbul | 1/      | Lira   | 1   | 151 | 144 | 124 | 1  |
|                  | 26/2005 |        | .33 |     |     |     | 22 |
+------------------+---------+--------+-----+-----+-----+-----+----+
| Zimbabwe: Harare | 1       | Dollar | 6   | 124 | 125 | 107 | 1  |
|                  | /6/2005 |        | 200 |     |     |     | 08 |
+------------------+---------+--------+-----+-----+-----+-----+----+
|                  |         |        |     |     |     |     |    |
+------------------+---------+--------+-----+-----+-----+-----+----+

\_\_\_\_\_\_\_\_\_\_\_\_

1 The exchange rates shown are those used to calcu­late the in­dexes. They
are usually the rates available to American citi­zens during the

survey month. Current exchange rates may differ from the rates shown.
Inter­im indexes adjusted for new ex­change rates are not pub­lished.

2 The local relative and local index measures living costs for pri­vate
American citizens. The local relative is a comparison of the prices

of goods and services at the foreign post and in Wash­ing­ton, D.C., with
the price ratios weight­ed by the pattern of expen­diture in Wash­ing­ton,

D.C. Conse­quently, the local rela­tive is a com­pari­son of price levels at
the post and in Washington, D.C., but not necessarily a comparison

of the cost of living abroad. The local index is a comparison of prices
at the foreign post and in Washington, D.C., with the price ratios

weight­ed by the expen­diture pat­tern of American em­ployees living at the
foreign post. It is, there­by, a mea­sure of the cost of living for

Americans at the for­eign post com­pared with the cost of living in
Washington, D.C. This is the index most appro­pri­ate for use by business

firms and other private orga­ni­zations to establish cost-of-living
allowances for their American employees stationed abroad.

3 The U.S. Government relative and index include prices of goods
im­port­ed to the post and price advantages avail­able only to U.S.

Govern­ment em­ployees. The U.S. Government relative is a comparison of
price levels but not necessarily of living costs abroad because

the expendi­ture weights reflect only the Washington, D.C. expenditure
pattern. The U.S. Government index reflects Federal employee

foreign ex­pen­diture patterns and is used to compute foreign post
allowanc­es for Federal employees.

### Table 2. Quarters Allowances, April 2005

**(The April, July & October publications contain only data for selected
locations that submitted surveys since the previous publication.)**

<table style="width:100%;">
<colgroup>
<col style="width: 25%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 1%" />
<col style="width: 5%" />
<col style="width: 9%" />
<col style="width: 10%" />
<col style="width: 11%" />
<col style="width: 8%" />
<col style="width: 1%" />
<col style="width: 1%" />
<col style="width: 1%" />
</colgroup>
<tbody>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td>3</td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td colspan="2">Exchange Rate</td>
<td></td>
<td></td>
<td colspan="4">Annual Allowance by family status and salary range</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr class="odd">
<td>Country and City</td>
<td>Survey</td>
<td>Effective</td>
<td>Foreign</td>
<td colspan="2">Number</td>
<td>Family</td>
<td>Less Than</td>
<td>$48,600 to</td>
<td colspan="4">$76,193 and</td>
</tr>
<tr class="even">
<td></td>
<td>2</td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>4</td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>1</td>
<td>Date</td>
<td>Date</td>
<td>Unit</td>
<td colspan="2">Per US$</td>
<td>Status</td>
<td>48,600</td>
<td>$76,192</td>
<td colspan="4">Above</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Australia: Melbourne. . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td>Jan-05</td>
<td>Feb-05</td>
<td>Dollar</td>
<td colspan="2">1.32</td>
<td>Family</td>
<td>19,000</td>
<td>21,000</td>
<td colspan="4">23,000</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>16,800</td>
<td>19,000</td>
<td colspan="4">22,000</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Canada: Calgary. . . . . . . . . . . . . . . . . . . . . . . .</td>
<td>Dec-04</td>
<td>Feb-05</td>
<td>Dollar</td>
<td colspan="2">1.22</td>
<td>Family</td>
<td>21,000</td>
<td>23,500</td>
<td colspan="4">25,700</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>18,600</td>
<td>21,500</td>
<td colspan="4">24,400</td>
</tr>
<tr class="even">
<td>Toronto. . . . . . . . . . . . . . . . . . . . . . . .</td>
<td>Dec-04</td>
<td>Feb-05</td>
<td>Dollar</td>
<td colspan="2">1.22</td>
<td>Family</td>
<td>35,500</td>
<td>36,400</td>
<td colspan="4">39,800</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>30,600</td>
<td>35,500</td>
<td colspan="4">39,700</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Ecuador: Quito . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td>Feb-05</td>
<td>Feb-05</td>
<td>Dollar</td>
<td colspan="2">1.00</td>
<td>Family</td>
<td>22,400</td>
<td>26,700</td>
<td colspan="4">29,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>20,800</td>
<td>23,000</td>
<td colspan="4">27,400</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Guatemala: Guatemala City. . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . .</td>
<td>Dec-04</td>
<td>Feb-05</td>
<td>Quetzal</td>
<td colspan="2">7.74</td>
<td>Family</td>
<td>27,500</td>
<td>33,200</td>
<td colspan="4">37,600</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,400</td>
<td>31,200</td>
<td colspan="4">31,800</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Honduras: Tegucigalpa. . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . .</td>
<td>Dec-02</td>
<td>Feb-05</td>
<td>Lempira</td>
<td colspan="2">18.7</td>
<td>Family</td>
<td>16,800</td>
<td>19,000</td>
<td colspan="4">19,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>15,100</td>
<td>17,100</td>
<td colspan="4">19,000</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Iceland: Keflavik-Grindavik. . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . .</td>
<td>Apr-04</td>
<td>Feb-05</td>
<td>Krona</td>
<td colspan="2">62.4</td>
<td>Family</td>
<td>15,900</td>
<td>20,600</td>
<td colspan="4">20,600</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>14,200</td>
<td>18,900</td>
<td colspan="4">20,600</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Italy: Catania. . . . . . . . . . . . . . .</td>
<td>Mar-05</td>
<td>Apr-05</td>
<td>Euro</td>
<td colspan="2">.74</td>
<td>Family</td>
<td>22,700</td>
<td>26,000</td>
<td colspan="4">27,400</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>20,300</td>
<td>23,500</td>
<td colspan="4">26,600</td>
</tr>
<tr class="odd">
<td>Naples . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td>Mar-05</td>
<td>Apr-05</td>
<td>Euro</td>
<td colspan="2">.74</td>
<td>Family</td>
<td>37,500</td>
<td>41,700</td>
<td colspan="4">43,700</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>33,400</td>
<td>37,500</td>
<td colspan="4">42,800</td>
</tr>
<tr class="odd">
<td>Pordenone Aviano . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . .</td>
<td>Apr-05</td>
<td>Apr-05</td>
<td>Euro</td>
<td colspan="2">.74</td>
<td>Family</td>
<td>26,000</td>
<td>34,100</td>
<td colspan="4">34,500</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,000</td>
<td>30,000</td>
<td colspan="4">34,100</td>
</tr>
<tr class="odd">
<td>Vicenza . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. .</td>
<td>Apr-05</td>
<td>Apr-05</td>
<td>Euro</td>
<td colspan="2">.74</td>
<td>Family</td>
<td>29,000</td>
<td>35,000</td>
<td colspan="4">36,000</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,100</td>
<td>33,100</td>
<td colspan="4">35,000</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Japan: Misawa. . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . .</td>
<td>Feb-04</td>
<td>Feb-05</td>
<td>Yen</td>
<td colspan="2">100</td>
<td>Family</td>
<td>27,000</td>
<td>28,800</td>
<td colspan="4">28,800</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,300</td>
<td>27,800</td>
<td colspan="4">28,800</td>
</tr>
<tr class="odd">
<td>Okinawa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td>Jan-05</td>
<td>Mar-05</td>
<td>Yen</td>
<td colspan="2">101</td>
<td>Family</td>
<td>42,200</td>
<td>48,400</td>
<td colspan="4">48,400</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>42,200</td>
<td>48,100</td>
<td colspan="4">48,400</td>
</tr>
<tr class="odd">
<td>Tokyo City. . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . .</td>
<td>Jan-03</td>
<td>Feb-05</td>
<td>Yen</td>
<td colspan="2">100</td>
<td>Family</td>
<td>74,700</td>
<td>86,500</td>
<td colspan="4">92,800</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>66,200</td>
<td>75,600</td>
<td colspan="4">86,900</td>
</tr>
<tr class="odd">
<td>Tokyo-To5. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . .</td>
<td>Jan-05</td>
<td>Apr-05</td>
<td>Yen</td>
<td colspan="2">105</td>
<td>Family</td>
<td>34,400</td>
<td>40,200</td>
<td colspan="4">40,200</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>29,600</td>
<td>34,400</td>
<td colspan="4">40,200</td>
</tr>
<tr class="odd">
<td>Yokohama. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . .</td>
<td>Mar-02</td>
<td>Feb-05</td>
<td>Yen</td>
<td colspan="2">100</td>
<td>Family</td>
<td>39,000</td>
<td>49,400</td>
<td colspan="4">50,700</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>35,100</td>
<td>48,200</td>
<td colspan="4">49,400</td>
</tr>
<tr class="odd">
<td>Yokosuka. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . .</td>
<td>Jan-05</td>
<td>Apr-05</td>
<td>Yen</td>
<td colspan="2">105</td>
<td>Family</td>
<td>31,900</td>
<td>44,200</td>
<td colspan="4">44,200</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>31,000</td>
<td>38,100</td>
<td colspan="4">44,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Korea: Osan AB . . . . . . . . . . . . . . . . . . . . . . . . . . .
. .</td>
<td><h2 id="jun-03">Jun-03</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Won</td>
<td colspan="2">993</td>
<td>Family</td>
<td>22,400</td>
<td>27,100</td>
<td colspan="4">30,700</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>21,100</td>
<td>22,400</td>
<td colspan="4">27,100</td>
</tr>
<tr class="even">
<td>Pusan. . . . . . . . . . . . . . . .</td>
<td><h2 id="jun-03-1">Jun-03</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Won</td>
<td colspan="2">993</td>
<td>Family</td>
<td>27,400</td>
<td>27,900</td>
<td colspan="4">27,900</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-1"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>20,700</td>
<td>27,400</td>
<td colspan="4">27,900</td>
</tr>
<tr class="even">
<td>Seoul . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="sep-04">Sep-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Won</td>
<td colspan="2">993</td>
<td>Family</td>
<td>47,000</td>
<td>51,800</td>
<td colspan="4">51,800</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-2"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>43,500</td>
<td>47,000</td>
<td colspan="4">51,800</td>
</tr>
<tr class="even">
<td>Taegu . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="jun-03-2">Jun-03</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Won</td>
<td colspan="2">993</td>
<td>Family</td>
<td>25,200</td>
<td>29,600</td>
<td colspan="4">29,600</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-3"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>22,800</td>
<td>28,400</td>
<td colspan="4">29,600</td>
</tr>
<tr class="even">
<td>Uijongbu . . . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td><h2 id="dec-04">Dec-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Won</td>
<td colspan="2">993</td>
<td>Family</td>
<td>26,400</td>
<td>33,200</td>
<td colspan="4">33,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>23,900</td>
<td>26,400</td>
<td colspan="4">33,200</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Malta: Malta. . . . . . . . . . . . . . .</td>
<td><h2 id="oct-04">Oct-04</h2></td>
<td>Feb-04</td>
<td>Pound</td>
<td colspan="2">.3317</td>
<td>Family</td>
<td>26,300</td>
<td>34,000</td>
<td colspan="4">34,200</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>24,500</td>
<td>27,300</td>
<td colspan="4">34,000</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Netherlands: The Hague. . . . . . . . . . . . . . .</td>
<td><h2 id="apr-05">Apr-05</h2></td>
<td>Apr-05</td>
<td>Euro</td>
<td colspan="2">0.74</td>
<td>Family</td>
<td>45,200</td>
<td>49,500</td>
<td colspan="4">56,400</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>37,200</td>
<td>45,200</td>
<td colspan="4">53,500</td>
</tr>
</tbody>
</table>

### Table 2. Quarters Allowances, April 2005

**(The April, July & October publications contain only data for selected
locations that submitted surveys since the previous publication.)**

<table style="width:100%;">
<colgroup>
<col style="width: 25%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 1%" />
<col style="width: 5%" />
<col style="width: 9%" />
<col style="width: 10%" />
<col style="width: 11%" />
<col style="width: 8%" />
<col style="width: 1%" />
<col style="width: 1%" />
<col style="width: 1%" />
</colgroup>
<tbody>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td>3</td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td colspan="2">Exchange Rate</td>
<td></td>
<td></td>
<td colspan="4">Annual Allowance by family status and salary range</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr class="odd">
<td>Country and City</td>
<td>Survey</td>
<td>Effective</td>
<td>Foreign</td>
<td colspan="2">Number</td>
<td>Family</td>
<td>Less Than</td>
<td>$48,600 to</td>
<td colspan="4">$76,193 and</td>
</tr>
<tr class="even">
<td></td>
<td>2</td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>4</td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>1</td>
<td>Date</td>
<td>Date</td>
<td>Unit</td>
<td colspan="2">Per US$</td>
<td>Status</td>
<td>48,600</td>
<td>$76,192</td>
<td colspan="4">Above</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>New Zealand: Wellington . . . . . . . . . . . . . . . . . . . . . .
. . . . .</td>
<td><h2 id="dec-02">Dec-02</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Dollar</td>
<td colspan="2">1.34</td>
<td>Family</td>
<td>19,500</td>
<td>30,200</td>
<td colspan="4">30,200</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>19,500</td>
<td>30,200</td>
<td colspan="4">30,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Norway: Oslo . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td><h2 id="jun-97">Jun-97</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Kroner</td>
<td colspan="2">6.32</td>
<td>Family</td>
<td>20,200</td>
<td>24,000</td>
<td colspan="4">25,400</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>19,500</td>
<td>20,200</td>
<td colspan="4">24,000</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Singapore: Singapore. . . . . . . . . . . . . . . . . . . . . . . .
. . . . .</td>
<td><h2 id="mar-02">Mar-02</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Dollar</td>
<td colspan="2">1.63</td>
<td>Family</td>
<td>33,600</td>
<td>37,900</td>
<td colspan="4">40,300</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>30,200</td>
<td>33,600</td>
<td colspan="4">38,700</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Switzerland: Bern. . . . . . . . . . . . . . . . . . . . . . . . . .
. . .</td>
<td><h2 id="feb-05">Feb-05</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Franc</td>
<td colspan="2">1.13</td>
<td>Family</td>
<td>41,000</td>
<td>50,500</td>
<td colspan="4">52,000</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-4"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>40,300</td>
<td>41,000</td>
<td colspan="4">50,500</td>
</tr>
<tr class="even">
<td>Geneva. . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="dec-04-1">Dec-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Franc</td>
<td colspan="2">1.15</td>
<td>Family</td>
<td>59,100</td>
<td>62,800</td>
<td colspan="4">72,700</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-5"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>51,100</td>
<td>59,100</td>
<td colspan="4">62,800</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Thailand: Bangkok . . . . . . . . . . . . . . . . .</td>
<td><h2 id="nov-00">Nov-00</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Baht</td>
<td colspan="2">38.5</td>
<td>Family</td>
<td>28,500</td>
<td>33,900</td>
<td colspan="4">36,600</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>25,800</td>
<td>29,800</td>
<td colspan="4">32,500</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Turkey: Adana-Incirlik. . . . . . . . . . . . . . . . . . . . . . .
. . . . . .</td>
<td><h2 id="dec-04-2">Dec-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Lira</td>
<td colspan="2">1,345,000</td>
<td>Family</td>
<td>17,800</td>
<td>19,500</td>
<td colspan="4">20,300</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-6"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>16,100</td>
<td>17,800</td>
<td colspan="4">19,800</td>
</tr>
<tr class="even">
<td>Ankara. . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="dec-04-3">Dec-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Lira</td>
<td colspan="2">1,345,000</td>
<td>Family</td>
<td>21,700</td>
<td>30,100</td>
<td colspan="4">30,300</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-7"></h2></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>19,500</td>
<td>29,900</td>
<td colspan="4">29,800</td>
</tr>
<tr class="even">
<td>Izmir-Cigli . . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td><h2 id="oct-01">Oct-01</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Lira</td>
<td colspan="2">1,345,000</td>
<td>Family</td>
<td>27,900</td>
<td>29,900</td>
<td colspan="4">31,600</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>24,700</td>
<td>27,900</td>
<td colspan="4">29,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>United Kingdom: Chicksands. . . Cheltenham…….</td>
<td><h2 id="aug-99">Aug-99</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Pound</td>
<td colspan="2">0.5181</td>
<td>Family</td>
<td>19,600</td>
<td>21,900</td>
<td colspan="4">24,200</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>17,600</td>
<td>19,600</td>
<td colspan="4">21,900</td>
</tr>
<tr class="odd">
<td>Harrogate. . . ……</td>
<td><h2 id="may-04">May-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Pound</td>
<td colspan="2">0.5181</td>
<td>Family</td>
<td>35,900</td>
<td>39,900</td>
<td colspan="4">41,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>31,900</td>
<td>35,900</td>
<td colspan="4">40,900</td>
</tr>
<tr class="odd">
<td>Lakenheath. . . . . . . . . . . . LLakendKaLakenheath………</td>
<td><h2 id="feb-04">Feb-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Pound</td>
<td colspan="2">0.5181</td>
<td>Family</td>
<td>41,200</td>
<td>45,700</td>
<td colspan="4">48,100</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>36,500</td>
<td>41,200</td>
<td colspan="4">46,900</td>
</tr>
<tr class="odd">
<td>London. . . . . . . . . . London…………</td>
<td><h2 id="may-04-1">May-04</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Pound</td>
<td colspan="2">0.5181</td>
<td>Family</td>
<td>61,500</td>
<td>68,200</td>
<td colspan="4">75,000</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>54,600</td>
<td>66,100</td>
<td colspan="4">68,200</td>
</tr>
<tr class="odd">
<td>Oxfordshire. . . . . Oxfordshire……</td>
<td><h2 id="jul-03">Jul-03</h2></td>
<td><p>Feb-05</p>
<p>f</p></td>
<td>Pound</td>
<td colspan="2">0.5181</td>
<td>Family</td>
<td>24,000</td>
<td>26,800</td>
<td colspan="4">29,400</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td>Single</td>
<td>21,500</td>
<td>24,000</td>
<td colspan="4">28,200</td>
</tr>
</tbody>
</table>

\_\_\_\_\_\_\_\_\_\_

1 The allowance figures shown in the table are the maximum allowances
payable. The quarters allowance paid to each eligible government
employee is either the amount of actual expenditures for rent and
utilities or the allowance maximum, whichever is less.

2 The survey date is the month when the employee housing expenditure
reports were received by the Office of Allowances. The effective date is
the month when either (a) allowances were revised on the basis of
employee housing expenditure reports, or (b) existing allowances were
reviewed and found to be appropriate,

3 The exchange rate is the rate used to compute the quarters allowances
as of the effective date.

> 4 Quarters allowances are computed for single persons and 2‑person
> families. Employees with larger families living with them at post
> receive supplements of 10, 20, or 30 percent of the 2‑person allowance
> (for families of 3 to 4 persons, 5 to 6 persons, or 7 or more persons,
> respectively).

5 The quarters allowances for Tokyo-To refer to housing in the Tokyo
suburbs.

###### Table 3. Hardship Differentials and Danger Pay, April 2005

**(The April, July & October publications contain only data for selected
locations that submitted surveys since the previous publication.)**

  -------------------------------------------------------- ---------------
  Country and City                                         Differential\
                                                           Rate Percent^1^

                                                           

  Brazil: Brasilia                                         10 (Eff.
                                                           4/03/05)

                                                           

  Burma: Rangoon                                           25 (Eff.
                                                           3/20/05)

                                                           

  Suriname: Paramaribo                                     25 (Eff.
                                                           4/17/05)

                                                           

  Zimbabwe: Harare                                         20 (Eff.
                                                           2/06/05)
  -------------------------------------------------------- ---------------

######  {#section-8}

######  {#section-9}

###### Danger Pay, April 2005

**(The April, July & October publications will contain only rates for
locations that changed since the previous publication.)**

  -------------------------------------------------------- --------------
  Country and City                                         Danger Pay\
                                                           Rate Percent

                                                           

  Cote d'Ivoire: Abidjan                                   15 (eff.
                                                           2/20/05)

                                                           

                                                           

                                                           
  -------------------------------------------------------- --------------

\_\_\_\_\_\_\_\_

**Note:** A complete listing of locations with hardship differential for
Federal civilian employees can be found in Section 920 of the
*Department of* State *Standardized Regulations (Government Civilians,
Foreign Areas)* and on the Internet at www.state.gov/m/a/als/qtrpt.