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. The data is 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 Post 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 Post
(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 October 2006*

**Visit our HOMEPAGE at:**

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

**Quarters Allowances**

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 Quarters
Allowances (Table 2) are the maximum allowances payable to U.S.
Government employees to cover housing costs at the foreign location when
no government-provided quarters are available. The living quarters
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 expe­ndi­ture reports
submitted by all U.S. Government civil­ian em­ployees at locations where
USG personnel are occupying privately leased 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 only
since in many locations it has been several years since USG personnel
occupied privately leased housing. The allow­ance rates established at
the time of the 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, 25, 30, and 35 per­cent of
base salary. The maximum amount that Federal em­ployees can currently
receive as combined annual base salary and hard­ship differ­ential is
\$183,500. 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, 25, 30 and 35 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 (202−261−8700).

###### Table 1. Indexes of Living Costs Abroad, October 2006

(Washington, D.C. = 100)

+--------------------+------+--------+------+-----+-----+-----+----+
| **Country and      | **   | **Ex   |      | **L |     | **  |    |
| City**             | Surv | change |      | oca |     | U.S |    |
|                    | ey** | Rat    |      | l^2 |     | .** |    |
|                    |      | e^1^** |      | ^** |     |     |    |
|                    | ##   |        |      |     |     | **  |    |
|                    | Date |        |      |     |     | Gov |    |
|                    |      |        |      |     |     | ern |    |
|                    |      |        |      |     |     | men |    |
|                    |      |        |      |     |     | t^3 |    |
|                    |      |        |      |     |     | ^** |    |
+--------------------+------+--------+------+-----+-----+-----+----+
|                    |      | **For  | **   | **R | **I | **R | *  |
|                    |      | eign** | Numb | ela | nde | ela | *I |
|                    |      |        | er** | tiv | x** | tiv | nd |
|                    |      | **     |      | e** |     | e** | ex |
|                    |      | Unit** | *    |     |     |     | ** |
|                    |      |        | *Per |     |     |     |    |
|                    |      |        | US   |     |     |     |    |
|                    |      |        | \$** |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Bangladesh: Dhaka  | 3/6/ | Taka   | 69   | 84  | 88  | 81  | 87 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Barbados: Barbados | 7    | Dollar | 2.02 | 146 | 151 | 134 | 1  |
|                    | /25/ |        |      |     |     |     | 37 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Brunei: Bandar     | 6    | Dollar | 1.57 | 104 | 111 | 106 | 1  |
| Seri Begawan       | /29/ |        |      |     |     |     | 13 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Burkina:           | 4    | CFA    | 544  | 110 | 120 | 97  | 1  |
| Ouagadougou        | /12/ | Franc  |      |     |     |     | 06 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Burma: Rangoon     | 3/4/ | Kyat   | 450  | 121 | 128 | 102 | 1  |
|                    | 2006 |        |      |     |     |     | 09 |
+--------------------+------+--------+------+-----+-----+-----+----+
| China: Beijing     | 4    | Re     | 8.01 | 114 | 120 | 99  | 1  |
|                    | /26/ | nminbi |      |     |     |     | 06 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Denmark:           | 6    | Kroner | 5.91 | 163 | 166 | 152 | 1  |
| Copenhagen         | /28/ |        |      |     |     |     | 55 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Dominican          | 4    | Peso   | 31.8 | 116 | 129 | 106 | 1  |
| Republic: Santo    | /30/ |        |      |     |     |     | 18 |
| Domingo            | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Equatorial Guinea: | 6    | CFA    | 511  | 139 | 150 | 119 | 1  |
| Malabo             | /20/ | Franc  |      |     |     |     | 26 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Ethiopia: Addis    | 4    | Birr   | 8.69 | 113 | 116 | 104 | 1  |
| Ababa              | /10/ |        |      |     |     |     | 08 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Iceland: Reykjavik | 7    | Kronur | 74.5 | 179 | 178 | 163 | 1  |
|                    | /31/ |        |      |     |     |     | 62 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Indonesia: Jakarta | 5    | Rupiah | 8617 | 115 | 124 | 108 | 1  |
|                    | /18/ |        |      |     |     |     | 16 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Indonesia:         | 4    | Rupiah | 8900 | 94  | 102 | 93  | 1  |
| Surabaya           | /25/ |        |      |     |     |     | 01 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Lebanon: Beirut    | 6    | Pound  | 1501 | 106 | 106 | 98  | 1  |
|                    | /19/ |        |      |     |     |     | 01 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Lesotho: Maseru    | 3    | Maloti | 6.28 | 105 | 108 | 105 | 1  |
|                    | /23/ |        |      |     |     |     | 08 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Mexico: Mexico     | 6    | Peso   | 11.1 | 110 | 118 | 101 | 1  |
| City, D.F.         | /23/ |        |      |     |     |     | 09 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Nicaragua: Managua | 5/2/ | Gold   | 17.4 | 84  | 88  | 81  | 86 |
|                    | 2006 | C      |      |     |     |     |    |
|                    |      | ordoba |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Saudi Arabia:      | 5/8/ | Riyal  | 3.75 | 108 | 114 | 103 | 1  |
| Riyadh             | 2006 |        |      |     |     |     | 14 |
+--------------------+------+--------+------+-----+-----+-----+----+
| Senegal: Dakar     | 6/5/ | CFA    | 512  | 135 | 142 | 118 | 1  |
|                    | 2006 | Franc  |      |     |     |     | 24 |
+--------------------+------+--------+------+-----+-----+-----+----+
| South Africa:      | 5    | Rand   | 6.05 | 108 | 109 | 108 | 1  |
| Pretoria           | /24/ |        |      |     |     |     | 08 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Spain: Madrid      | 4    | Euro   | 0.8  | 152 | 150 | 133 | 1  |
|                    | /17/ |        |      |     |     |     | 32 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Sri Lanka: Colombo | 2    | Rupee  | 102  | 82  | 85  | 86  | 90 |
|                    | /23/ |        |      |     |     |     |    |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Sweden: Stockholm  | 3    | Kroner | 7.92 | 164 | 162 | 144 | 1  |
|                    | /19/ |        |      |     |     |     | 42 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Switzerland:       | 3    | Franc  | 1.31 | 178 | 177 | 161 | 1  |
| Geneva             | /30/ |        |      |     |     |     | 61 |
|                    | 2006 |        |      |     |     |     |    |
+--------------------+------+--------+------+-----+-----+-----+----+
| Togo: Lome         | 3/5/ | CFA    | 550  | 111 | 123 | 97  | 1  |
|                    | 2006 | Franc  |      |     |     |     | 12 |
+--------------------+------+--------+------+-----+-----+-----+----+
| Tunisia: Tunis     | 7/1/ | Dinar  | 1.33 | 108 | 112 | 102 | 1  |
|                    | 2006 |        |      |     |     |     | 06 |
+--------------------+------+--------+------+-----+-----+-----+----+

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.

See Technical Notes for an expla­na­tion of how the local indexes may be
adjusted for changes in ex­change rates.

2 The local relative and local index measure living costs for pri­vate
American citizens living abroad in two different ways. The local
relative

is a comparison of goods and services prices between the foreign post
and Wash­ing­ton, D.C., with the price ratios weight­ed by the pattern

of expen­diture in Wash­ing­ton, D.C. Conse­quently, the local rela­tive is a
straight com­pari­son of price levels between the post and

Washington, D.C., but not necessarily a comparison of the cost of living
abroad. The local index is a comparison of prices between the foreign

post and 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 Washington, D.C. as the base. 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.

4 There are no U.S. Government employees in Taiwan. The figures listed
in this column represent a living cost comparison for American

employees of the American Institute in Taiwan, who have some duty-free
and other special benefits that may not be available to other

Americans in Taiwan.

### Table 2. Quarters Allowances, October 2006 

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

<table>
<colgroup>
<col style="width: 25%" />
<col style="width: 7%" />
<col style="width: 0%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 0%" />
<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>
<thead>
<tr class="header">
<th></th>
<th colspan="2"></th>
<th></th>
<th colspan="2">3</th>
<th colspan="2"></th>
<th></th>
<th></th>
<th></th>
<th colspan="4"></th>
</tr>
<tr class="odd">
<th></th>
<th colspan="2"></th>
<th colspan="2">Exchange Rate</th>
<th colspan="2"></th>
<th></th>
<th colspan="4">Annual Allowance by family status and salary range</th>
<th></th>
<th></th>
<th></th>
</tr>
<tr class="header">
<th>Country and City</th>
<th colspan="2">Survey</th>
<th>Effective</th>
<th colspan="2">Foreign</th>
<th colspan="2">Number</th>
<th>Family</th>
<th>Less Than</th>
<th>$49,630 to</th>
<th colspan="4">$77,793 and</th>
</tr>
<tr class="odd">
<th></th>
<th colspan="2">2</th>
<th></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th>4</th>
<th></th>
<th></th>
<th colspan="4"></th>
</tr>
<tr class="header">
<th>1</th>
<th colspan="2">Date</th>
<th>Date</th>
<th colspan="2">Unit</th>
<th colspan="2">Per US$</th>
<th>Status</th>
<th>$49,630</th>
<th>$77,792</th>
<th colspan="4">Above</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Belgium: Brussels . . . . . . . . . . . . . .</td>
<td colspan="2">Oct-06</td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>38,200</td>
<td>42,400</td>
<td colspan="4">45,600</td>
</tr>
<tr class="even">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>33,600</td>
<td>40,000</td>
<td colspan="4">42,400</td>
</tr>
<tr class="odd">
<td>SHAPE/Chievres. . . . . . . . . . . . . .</td>
<td colspan="2">May-06</td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>26,000</td>
<td>30,100</td>
<td colspan="4">33,300</td>
</tr>
<tr class="even">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,000</td>
<td>26,000</td>
<td colspan="4">30,100</td>
</tr>
<tr class="odd">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Canada: Calgary . . . . . . . . . . . . . .</td>
<td colspan="2">Oct-06</td>
<td>Oct-06</td>
<td colspan="2">Euro</td>
<td colspan="2">1.12</td>
<td>Family</td>
<td>29,700</td>
<td>33,000</td>
<td colspan="4">36,000</td>
</tr>
<tr class="odd">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,400</td>
<td>29,700</td>
<td colspan="4">34,700</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>France: Lyon . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td>Dec-05</td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>43,500</td>
<td>48,400</td>
<td colspan="4">50,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>38,700</td>
<td>43,500</td>
<td colspan="4">48,400</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section"></h2></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Germany: Berlin . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td><h2 id="dec-04">Dec-04</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>32,500</td>
<td>48,200</td>
<td colspan="4">48,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>31,700</td>
<td>32,500</td>
<td colspan="4">48,200</td>
</tr>
<tr class="even">
<td>Frankfurt am Main. . . . . . . . . . . . . .</td>
<td><h2 id="dec-05">Dec-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>35,500</td>
<td>39,600</td>
<td colspan="4">41,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>32,600</td>
<td>35,500</td>
<td colspan="4">39,600</td>
</tr>
<tr class="even">
<td>Hanau. . . . . . . . . . . . . . . . .</td>
<td><h2 id="dec-05-1">Dec-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>37,700</td>
<td>40,900</td>
<td colspan="4">42,500</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>34,500</td>
<td>37,700</td>
<td colspan="4">40,900</td>
</tr>
<tr class="even">
<td>Heidelberg. . . . . . . . . . . . . . . . .</td>
<td><h2 id="dec-05-2">Dec-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>34,100</td>
<td>38,100</td>
<td colspan="4">39,200</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-1"></h2></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>30,800</td>
<td>34,100</td>
<td colspan="4">38,700</td>
</tr>
<tr class="even">
<td>Kaiserslautern . . . . . . . . . . . . . . . . . . . . . . . . . . .
. .</td>
<td><h2 id="sep-05">Sep-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>38,100</td>
<td>43,200</td>
<td colspan="4">44,400</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>33,700</td>
<td>38,100</td>
<td colspan="4">43,200</td>
</tr>
<tr class="even">
<td>Nuernberg . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td>Apr-04</td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>22,500</td>
<td>24,200</td>
<td colspan="4">24,900</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>20,600</td>
<td>22,500</td>
<td colspan="4">24,200</td>
</tr>
<tr class="even">
<td>Stuttgart . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . .</td>
<td><h2 id="dec-05-3">Dec-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>37,900</td>
<td>40,200</td>
<td colspan="4">41,600</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-2"></h2></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>31,700</td>
<td>37,900</td>
<td colspan="4">40,100</td>
</tr>
<tr class="even">
<td>Wiesbaden . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="dec-05-4">Dec-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>38,300</td>
<td>46,400</td>
<td colspan="4">47,100</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>35,300</td>
<td>42,700</td>
<td colspan="4">46,400</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Greece: Athens. . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="jun-05">Jun-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>29,800</td>
<td>31,700</td>
<td colspan="4">31,700</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>28,500</td>
<td>30,600</td>
<td colspan="4">31,700</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Italy: Catania. . . . . . . . . . . . . . . .</td>
<td><h2 id="mar-06">Mar-06</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>22,800</td>
<td>26,200</td>
<td colspan="4">27,700</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>20,600</td>
<td>24,400</td>
<td colspan="4">26,900</td>
</tr>
<tr class="even">
<td>Leghorn. . . . . . . . . . . . . . . .</td>
<td><h2 id="apr-04">Apr-04</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>25,600</td>
<td>32,000</td>
<td colspan="4">33,500</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-3"></h2></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>22,100</td>
<td>25,600</td>
<td colspan="4">32,600</td>
</tr>
<tr class="even">
<td>Naples. . . . . . . . . . . . . . . .</td>
<td><h2 id="mar-06-1">Mar-06</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>37,900</td>
<td>42,200</td>
<td colspan="4">44,100</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-4"></h2></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>33,800</td>
<td>40,300</td>
<td colspan="4">43,300</td>
</tr>
<tr class="even">
<td>Pordenone-Aviano. . . . . . . . . . . . . . . .</td>
<td><h2 id="mar-06-2">Mar-06</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>28,100</td>
<td>36,800</td>
<td colspan="4">36,800</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-5"></h2></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>28,100</td>
<td>32,100</td>
<td colspan="4">36,800</td>
</tr>
<tr class="even">
<td>Rome. . . . . . . . . . . . . . . .</td>
<td><h2 id="may-05">May-05</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>36,600</td>
<td>40,400</td>
<td colspan="4">53,500</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-6"></h2></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>32,400</td>
<td>36,600</td>
<td colspan="4">52,900</td>
</tr>
<tr class="even">
<td>Vicenza. . . . . . . . . . . . . . . .</td>
<td><h2 id="mar-06-3">Mar-06</h2></td>
<td colspan="2">Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>30,600</td>
<td>36,300</td>
<td colspan="4">37,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>27,000</td>
<td>34,200</td>
<td colspan="4">36,300</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Japan: Misawa . . . . . . . . .</td>
<td colspan="2">Mar-06</td>
<td>Aug-06</td>
<td colspan="2">Yen</td>
<td colspan="2">112</td>
<td>Family</td>
<td>23,400</td>
<td>25,300</td>
<td colspan="4">25,300</td>
</tr>
<tr class="even">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>22,600</td>
<td>24,200</td>
<td colspan="4">25,300</td>
</tr>
<tr class="odd">
<td>Okinawa . . . . . . . .</td>
<td colspan="2">Mar-06</td>
<td>Aug-06</td>
<td colspan="2">Yen</td>
<td colspan="2">112</td>
<td>Family</td>
<td>38,700</td>
<td>45,100</td>
<td colspan="4">45,100</td>
</tr>
<tr class="even">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>38,700</td>
<td>44,200</td>
<td colspan="4">45,100</td>
</tr>
<tr class="odd">
<td>Tokyo City . . . . . . .</td>
<td colspan="2"><h2 id="feb-06">Feb-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Yen</td>
<td colspan="2">112</td>
<td>Family</td>
<td>69,100</td>
<td>80,100</td>
<td colspan="4">85,700</td>
</tr>
<tr class="even">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>61,200</td>
<td>69,900</td>
<td colspan="4">80,500</td>
</tr>
<tr class="odd">
<td></td>
<td colspan="2"></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
</tbody>
</table>

###  Table 2. Quarters Allowances, October 2006 

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

<table>
<colgroup>
<col style="width: 25%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 0%" />
<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>
<thead>
<tr class="header">
<th></th>
<th></th>
<th></th>
<th colspan="2">3</th>
<th colspan="2"></th>
<th></th>
<th></th>
<th></th>
<th colspan="4"></th>
</tr>
<tr class="odd">
<th></th>
<th></th>
<th colspan="2">Exchange Rate</th>
<th colspan="2"></th>
<th></th>
<th colspan="4">Annual Allowance by family status and salary range</th>
<th></th>
<th></th>
<th></th>
</tr>
<tr class="header">
<th>Country and City</th>
<th>Survey</th>
<th>Effective</th>
<th colspan="2">Foreign</th>
<th colspan="2">Number</th>
<th>Family</th>
<th>Less Than</th>
<th>$49,630 to</th>
<th colspan="4">$77,793 and</th>
</tr>
<tr class="odd">
<th></th>
<th>2</th>
<th></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th>4</th>
<th></th>
<th></th>
<th colspan="4"></th>
</tr>
<tr class="header">
<th>1</th>
<th>Date</th>
<th>Date</th>
<th colspan="2">Unit</th>
<th colspan="2">Per US$</th>
<th>Status</th>
<th>$49,630</th>
<th>$77,792</th>
<th colspan="4">Above</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>Japan: Tokyo-To5 . . . . . . .</td>
<td>Feb-06</td>
<td>Aug-06</td>
<td colspan="2">Yen</td>
<td colspan="2">112</td>
<td>Family</td>
<td>31,100</td>
<td>36,400</td>
<td colspan="4">36,400</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>27,800</td>
<td>31,100</td>
<td colspan="4">36,400</td>
</tr>
<tr class="odd">
<td>Yokohama . . . . . . .</td>
<td>Dec-05</td>
<td>Aug-06</td>
<td colspan="2">Yen</td>
<td colspan="2">112</td>
<td>Family</td>
<td>36,700</td>
<td>46,500</td>
<td colspan="4">47,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>33,200</td>
<td>45,300</td>
<td colspan="4">46,500</td>
</tr>
<tr class="odd">
<td>Yokosuka . . . . . . . ….</td>
<td>Mar-06</td>
<td>Aug-06</td>
<td colspan="2">Yen</td>
<td colspan="2">112</td>
<td>Family</td>
<td>31,000</td>
<td>41,400</td>
<td colspan="4">41,400</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>31,000</td>
<td>35,600</td>
<td colspan="4">41,400</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></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="apr-06">Apr-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Won</td>
<td colspan="2">925</td>
<td>Family</td>
<td>27,100</td>
<td>32,100</td>
<td colspan="4">32,400</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-7"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>25,700</td>
<td>27,100</td>
<td colspan="4">32,100</td>
</tr>
<tr class="even">
<td>Pusan . . . . . . . . . ……..</td>
<td><h2 id="jun-03">Jun-03</h2></td>
<td>Aug-06</td>
<td colspan="2">Won</td>
<td colspan="2">925</td>
<td>Family</td>
<td>29,400</td>
<td>29,900</td>
<td colspan="4">29,900</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-8"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>22,300</td>
<td>29,400</td>
<td colspan="4">29,900</td>
</tr>
<tr class="even">
<td>Seoul . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="mar-06-4">Mar-06</h2></td>
<td>Sep-06</td>
<td colspan="2">Won</td>
<td colspan="2">945</td>
<td>Family</td>
<td>53.300</td>
<td>56,200</td>
<td colspan="4">56,200</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-9"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>49,400</td>
<td>53,300</td>
<td colspan="4">56,200</td>
</tr>
<tr class="even">
<td>Taegu . . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="dec-05-5">Dec-05</h2></td>
<td>Aug-06</td>
<td colspan="2">Won</td>
<td colspan="2">925</td>
<td>Family</td>
<td>28,900</td>
<td>33,900</td>
<td colspan="4">33,900</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-10"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,000</td>
<td>32,500</td>
<td colspan="4">33,900</td>
</tr>
<tr class="even">
<td>Uijongbu . . . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td><h2 id="jan-06">Jan-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Won</td>
<td colspan="2">925</td>
<td>Family</td>
<td>29,500</td>
<td>37,200</td>
<td colspan="4">37,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>26,700</td>
<td>29,500</td>
<td colspan="4">37,200</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Luxembourg: Luxembourg. . . . . . . . . . . . . . . .</td>
<td><h2 id="may-06">May-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>36,800</td>
<td>40,800</td>
<td colspan="4">43,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>32,700</td>
<td>38,500</td>
<td colspan="4">40,800</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Netherlands: Brunssum. . . . . . . . . . . . . . . .</td>
<td><h2 id="may-06-1">May-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>25,200</td>
<td>29,800</td>
<td colspan="4">30,300</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-11"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>23,300</td>
<td>26,800</td>
<td colspan="4">29,800</td>
</tr>
<tr class="even">
<td>Hague, The. . . . . . . . . . . . . . .</td>
<td><h2 id="may-06-2">May-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>48,800</td>
<td>48,800</td>
<td colspan="4">54,900</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>36,300</td>
<td>48,800</td>
<td colspan="4">52,100</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></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>Dec-02</td>
<td>Aug-06</td>
<td colspan="2">Dollar</td>
<td colspan="2">1.52</td>
<td>Family</td>
<td>17,300</td>
<td>26,700</td>
<td colspan="4">26,700</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>17,300</td>
<td>26,700</td>
<td colspan="4">26,700</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Norway: Oslo . . . . . . . . . . . . . . . . . . . . . . . . . .
.</td>
<td>Jun-97</td>
<td>Aug-06</td>
<td colspan="2">Kroner</td>
<td colspan="2">6.18</td>
<td>Family</td>
<td>20,600</td>
<td>24,600</td>
<td colspan="4">25,900</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>19,900</td>
<td>20,600</td>
<td colspan="4">24,600</td>
</tr>
<tr class="even">
<td></td>
<td><h2 id="section-12"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Portugal: Lajes Field . . . . . . . . . . . . . . .</td>
<td><h2 id="jan-06-1">Jan-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>21,100</td>
<td>22,800</td>
<td colspan="4">24,200</td>
</tr>
<tr class="even">
<td></td>
<td><h2 id="section-13"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>18,900</td>
<td>21,100</td>
<td colspan="4">22,800</td>
</tr>
<tr class="odd">
<td></td>
<td><h2 id="section-14"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Lisbon</td>
<td><h2 id="jan-03">Jan-03</h2></td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>36,400</td>
<td>41,100</td>
<td colspan="4">48,800</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>32,400</td>
<td>37,000</td>
<td colspan="4">43,500</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Singapore: Singapore. . . . . . . . . . . . . . . . . . . . . . . .
. . . . .</td>
<td>Mar-06</td>
<td>Aug-06</td>
<td colspan="2">Dollar</td>
<td colspan="2">1.57</td>
<td>Family</td>
<td>35,100</td>
<td>39,600</td>
<td colspan="4">42,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>31,500</td>
<td>35,100</td>
<td colspan="4">40,300</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>Spain: Madrid . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="may-04">May-04</h2></td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>31,100</td>
<td>34,500</td>
<td colspan="4">36,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>29,900</td>
<td>31,100</td>
<td colspan="4">35,500</td>
</tr>
<tr class="even">
<td>Rota. . . . . . . . . . . . . . . . . . . . . . . . . . . . .</td>
<td><h2 id="jan-06-2">Jan-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Euro</td>
<td colspan="2">0.76</td>
<td>Family</td>
<td>27,600</td>
<td>31,200</td>
<td colspan="4">31,200</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>23,900</td>
<td>27,600</td>
<td colspan="4">31,200</td>
</tr>
<tr class="even">
<td></td>
<td><h2 id="section-15"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="odd">
<td>Switzerland: Bern. . . . . . . . . . . . . . . . . . . . . . . . . .
. . .</td>
<td><h2 id="mar-06-5">Mar-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Franc</td>
<td colspan="2">1.23</td>
<td>Family</td>
<td>43,100</td>
<td>49,500</td>
<td colspan="4">50,900</td>
</tr>
<tr class="even">
<td></td>
<td><h2 id="section-16"></h2></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>42,400</td>
<td>43,100</td>
<td colspan="4">49,500</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></td>
</tr>
<tr class="even">
<td>United Kingdom: Chicksands. . . ……</td>
<td>Aug-99</td>
<td>Aug-06</td>
<td colspan="2">Pound</td>
<td colspan="2">0.5111</td>
<td>Family</td>
<td>19,800</td>
<td>22,100</td>
<td colspan="4">24,500</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>17,900</td>
<td>19,800</td>
<td colspan="4">22,100</td>
</tr>
<tr class="even">
<td>Harrogate. . . ……</td>
<td><h2 id="may-06-3">May-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Pound</td>
<td colspan="2">0.5111</td>
<td>Family</td>
<td>34,600</td>
<td>39,500</td>
<td colspan="4">40,300</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>31,300</td>
<td>37,200</td>
<td colspan="4">39,500</td>
</tr>
<tr class="even">
<td>Lakenheath LLakendKaLakenheath………</td>
<td><h2 id="may-06-4">May-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Pound</td>
<td colspan="2">0.5111</td>
<td>Family</td>
<td>41,600</td>
<td>45,100</td>
<td colspan="4">51,100</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>40,000</td>
<td>41,600</td>
<td colspan="4">45,100</td>
</tr>
</tbody>
</table>

### Table 2. Quarters Allowances, October 2006 

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

<table>
<colgroup>
<col style="width: 25%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 7%" />
<col style="width: 0%" />
<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>
<thead>
<tr class="header">
<th></th>
<th></th>
<th></th>
<th colspan="2">3</th>
<th colspan="2"></th>
<th></th>
<th></th>
<th></th>
<th colspan="4"></th>
</tr>
<tr class="odd">
<th></th>
<th></th>
<th colspan="2">Exchange Rate</th>
<th colspan="2"></th>
<th></th>
<th colspan="4">Annual Allowance by family status and salary range</th>
<th></th>
<th></th>
<th></th>
</tr>
<tr class="header">
<th>Country and City</th>
<th>Survey</th>
<th>Effective</th>
<th colspan="2">Foreign</th>
<th colspan="2">Number</th>
<th>Family</th>
<th>Less Than</th>
<th>$49,630 to</th>
<th colspan="4">$77,793 and</th>
</tr>
<tr class="odd">
<th></th>
<th>2</th>
<th></th>
<th colspan="2"></th>
<th colspan="2"></th>
<th>4</th>
<th></th>
<th></th>
<th colspan="4"></th>
</tr>
<tr class="header">
<th>1</th>
<th>Date</th>
<th>Date</th>
<th colspan="2">Unit</th>
<th colspan="2">Per US$</th>
<th>Status</th>
<th>$49,630</th>
<th>$77,792</th>
<th colspan="4">Above</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td>United Kingdom: London ………</td>
<td><h2 id="may-06-5">May-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Pound</td>
<td colspan="2">0.5111</td>
<td>Family</td>
<td>59,200</td>
<td>68,900</td>
<td colspan="4">72,100</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>52,600</td>
<td>63,700</td>
<td colspan="4">68,900</td>
</tr>
<tr class="odd">
<td>Oxfordshire Oxfordshire……</td>
<td><h2 id="may-06-6">May-06</h2></td>
<td>Aug-06</td>
<td colspan="2">Pound</td>
<td colspan="2">0.5111</td>
<td>Family</td>
<td>23,500</td>
<td>26,300</td>
<td colspan="4">28,900</td>
</tr>
<tr class="even">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td>Single</td>
<td>21,000</td>
<td>23,500</td>
<td colspan="4">27,600</td>
</tr>
<tr class="odd">
<td></td>
<td></td>
<td></td>
<td colspan="2"></td>
<td colspan="2"></td>
<td></td>
<td></td>
<td></td>
<td colspan="4"></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.

######  {#section-17}

######  {#section-18}

######  {#section-19}

######  {#section-20}

######  {#section-21}

######  {#section-22}

######  {#section-23}

######  {#section-24}

######  {#section-25}

######  {#section-26}

######  {#section-27}

######  {#section-28}

######  {#section-29}

######  {#section-30}

######  {#section-31}

######  {#section-32}

######  {#section-33}

######  {#section-34}

######  {#section-35}

######  {#section-36}

######  {#section-37}

######  {#section-38}

######  {#section-39}

######  {#section-40}

######  {#section-41}

######  {#section-42}

###### Table 3. Hardship Differentials and Danger Pay, October 2006

###### (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^

  Cuba: Havana                                             25 (Eff.
                                                           10/1/06)

  Pakistan: Peshawar                                       30 (Eff.
                                                           8/20/06)
  -------------------------------------------------------- ---------------

######  {#section-43}

###### Danger Pay, October 2006

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

  East Timor                                               0 (Eff
                                                           8/20/06)

  Israel: Karmiel                                          20 (Eff
                                                           8/6/06)

  Israel: Tel Aviv                                         20 (Eff
                                                           8/6/06)

  Lebanon: Beirut                                          30 (Eff
                                                           8/6/06)
  -------------------------------------------------------- --------------

**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.

#########  {#section-44}