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Nonfarm payroll employment fell sharply in January (,) and the unemployment rate rose from
to percent, the Bureau of Labor Statistics of the U.S. Department of Labor reported today. Payroll
employment has declined by million since the start of the recession in December ; about one-half of
this decline occurred in the past 3 months. In January, job losses were large and widespread across nearly all
major industry sectors.

Establishment and Household Data Changes
The establishment survey data in this release have been revised as a result of the annual
benchmarking process and the updating of seasonal adjustment factors. See the note beginning
on page 6 for more information on the revisions.
In addition, household survey data for January reflect updated population estimates.
See the note on page 7 for more information. Also, January industry data shown in table
A of this release have been converted to the Census Industry Classification System.
Historical data have not been revised.

Unemployment (Household Survey Data)
Both the number of unemployed persons ( million) and the unemployment rate ( percent) rose in
January. Over the past 12 months, the number of unemployed persons has increased by million and the
unemployment rate has risen by percentage points. (See table A)
The unemployment rate continued to trend upward in January for adult men ( percent), adult women
( percent), whites ( percent), blacks ( percent), and Hispanics ( percent). The jobless rate for
teenagers was unchanged at percent. The unemployment rate for Asians was percent in January, not
seasonally adjusted. (See tables A-1, A-2, and A)
Among the unemployed, the number of job losers and persons who completed temporary jobs increased to
million in January. This measure has grown by million during the last 12 months. (See table A)
The number of long-term unemployed (those jobless for 27 weeks or more) was little changed at million
in January. Over the past 12 months, the number of long-term unemployed was up by million. The
number of persons unemployed less than 5 weeks rose to million in January. (See table A)
Total Employment and the Labor Force (Household Survey Data)
The civilian labor force participation rate, at percent in January, has edged down in recent months.
The employment-population ratio declined by percentage point to percent over the month, and by
percentage points over the year. (See table A)
The number of persons who worked part time for economic reasons (sometimes referred to as involuntary
part-time workers) was essentially unchanged in January at million; however, this measure was up by
million over the past 12 months. Included in this category are persons who would like to work full time but
were working part time because their hours had been cut back or because they were unable to find full-time
jobs. (See table A)
Persons Not in the Labor Force (Household Survey Data)
About million persons (not seasonally adjusted) were marginally attached to the labor force in January,
about , more than 12 months earlier. These individuals wanted and were available for work and had
looked for a job sometime in the prior 12 months. They were not counted as unemployed because they had not
searched for work in the 4 weeks preceding the survey. Among the marginally attached, there were ,
discouraged workers in January, up by about , from a year earlier. Discouraged workers are persons not
currently looking for work because they believe no jobs are available for them. The other million persons
marginally attached to the labor force in January had not searched for work in the 4 weeks preceding the survey
for reasons such as school attendance or family responsibilities. (See table A)
Industry Payroll Employment (Establishment Survey Data)
Total nonfarm payroll employment fell sharply (,) in January. Since the recession began in
December , million jobs have been lost, with about half of the decrease occurring in the last 3 months.
In January, employment declined in nearly all major industries, while health care and private education added
jobs. (See table B)
Manufacturing employment fell by , in January, the largest 1-month decline since October
In January, durable goods manufacturing lost , jobs, with notable decreases in fabricated metal products
(,), motor vehicles and parts (,), and machinery (,). Employment in nondurable goods
manufacturing declined by 50, over the month.
Construction lost , jobs in January. Employment in the industry has fallen by about million
since peaking in January Employment fell across most component industries over the month.
The temporary help industry lost 76, jobs in January. Since its recent peak in December , temporary
help employment has declined by , Professional and technical services lost 29, jobs in
Retail trade employment fell by 45, in January and by , since a peak in November In
January, employment declined in automobile dealerships (,), building material and garden supply stores
(,), department stores (-9,), and furniture and home furnishing stores (-7,). Over the month,
wholesale trade employment fell by 31,
Transportation and warehousing lost 44, jobs in January and , since the start of the recession.
Most of the decline occurred over the last 5 months. In January, employment fell in truck transportation
(,), support activities for transportation (-9,), and couriers and messengers (-4,).
Employment in financial activities declined by 42, over the month and by , since a peak in
December In January, job losses occurred in securities, commodity contracts, and investments (,)
and in credit intermediation (,).
Health care employment continued to trend up in January with a gain of 19, Employment gains in the
industry averaged 30, a month in Employment in private education rose by 33, over the month.
The change in total nonfarm employment for November was revised from , to ,, and the
change for December was revised from , to , Monthly revisions result from additional sample
reports and the monthly recalculation of seasonal factors. This month, the annual benchmarking process also
contributed to these revisions.
Weekly Hours (Establishment Survey Data)
In January, the average workweek for production and nonsupervisory workers on private nonfarm payrolls
remained at hours, seasonally adjusted. Both the manufacturing workweek and factory overtime decreased
by hour over the month, to and hours, respectively. (See table B)
The index of aggregate weekly hours of production and nonsupervisory workers on nonfarm payrolls fell
by percent in January. The manufacturing index declined by percent over the month. (See table B)
Hourly and Weekly Earnings (Establishment Survey Data)
In January, average hourly earnings of production and nonsupervisory workers on private nonfarm payrolls
rose by 5 cents, or percent, seasonally adjusted. This followed gains of 7 cents in December and 6 cents in
November. Over the past 12 months, average hourly earnings increased by percent, and average weekly
earnings rose by percent. (See table B)
The Employment Situation for February is scheduled to be released on Friday, March 6,
at A.M. (EST).
Revisions to Establishment Survey Data
In accordance with annual practice, the establishment survey data have been revised to reflect comprehensive
universe counts of payroll jobs, or benchmarks. These counts are derived principally from unemployment
insurance tax records compiled by the Quarterly Census of Employment and Wages program for March
As a result of the benchmark process, all not seasonally adjusted data series were subject to revision from
April forward, the time period since the last benchmark was established. In addition, with this release, the
seasonally adjusted establishment survey data from January forward were subject to revision due to the
introduction of updated seasonal adjustment factors.
Table B presents revised total nonfarm employment data on a seasonally adjusted basis for January through
December The revised data for April forward incorporate the effect of applying the rate of change
measured by the sample to the new benchmark level, as well as updated net business birth/death model adjustments
and new seasonal adjustment factors. The November and December revisions also reflect the
routine incorporation of additional sample receipts into the November final and December second preliminary
estimates. The total nonfarm employment level for March was revised downward by 89, (17, on a
seasonally adjusted basis). The previously published level for December was revised downward by
, (, on a seasonally adjusted basis).
An article that discusses the benchmark and post-benchmark revisions, as well as all revised historical
Current Employment Statistics (CES) data, can be accessed through the CES homepage at Information on the revisions released today also may be obtained by calling
Table B. Revisions in total nonfarm employment, January-December ,
seasonally adjusted
(In thousands)

January , , 4
February , ,
March , ,
April , ,
May , ,
June , ,
July , ,
August , ,
September , , 82
October , , 43
November , ,
December p &#;&#;&#; , ,
p = preliminary.
Levels Over-the-month changes
Year and month As
As revised
As revised Difference
Adjustments to Population Estimates for the Household Survey
Effective with data for January , updated population estimates have been used in the household survey.
Population estimates for the household survey are developed by the U.S. Census Bureau. Each year, the Census
Bureau updates the estimates to reflect new information and assumptions about the growth of the population
during the decade. The change in population reflected in the new estimates results primarily from adjustments
for net international migration, updated vital statistics information, and some methodological changes in the
estimation process.
In accordance with our usual practice, BLS will not revise the official household survey estimates for
December and earlier months. To show the impact of the population adjustment, however, differences in
selected December labor force series based on the old and new population estimates are shown in table C.
The adjustment decreased the estimated size of the civilian noninstitutional population in December by ,,
the civilian labor force by ,, and employment by ,; the new population estimates had a negligible
impact on unemployment rates and other percentage estimates. Data users are cautioned that these annual
population adjustments affect the comparability of household data series over time. Estimates of large levels,
such as total labor force and employment are impacted most. Table D shows the effect of the introduction of
new population estimates on the changes in selected labor force measures between December and January
More detailed information on the population adjustments and their effect on national labor force
estimates are available at
Table C. Effect of the updated population controls on December estimates by sex, race, and
Hispanic or Latino ethnicity, not seasonally adjusted
(Numbers in thousands)
Category Total Men White Asian
Civilian noninstitutional population &#;
Civilian labor force &#;&#;&#;&#;&#;&#;&#;
Employed &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;
Unemployed &#;&#;&#;&#;&#;&#;&#;&#;&#; -5 -6
Unemployment rate &#;&#;&#;&#;&#; .0 .0 .0 .0 .0 .0 .0
Black or
or Latino
NOTE: Detail for men and women may not sum to totals because of rounding. Estimates for the above race
groups (white, black or African American, and Asian) do not sum to totals because data are not presented for all
races. Persons whose ethnicity is identified as Hispanic or Latino may be of any race.
Table D. December January changes in selected labor force measures, with
adjustments for population control effects
(Numbers in thousands)
Civilian noninstitutional population &#;&#;&#;
Civilian labor force &#;&#;&#;&#;&#;&#;&#;&#;&#;
Participation rate &#;&#;&#;&#;&#;&#;&#;&#;&#;
Employed &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; -1,
Employment-population ratio &#;&#;&#;&#; .0
Unemployed &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;
Unemployment rate &#;&#;&#;&#;&#;&#;&#;&#; .4 .0 .4
control effect
Dec.-Jan. change,
as published
Dec.-Jan. change,
after removing
the population
control effect 1
1 This Dec.-Jan. change is calculated by subtracting the population control effect from the published overthe-
month change.
Frequently Asked Questions about Employment and Unemployment Estimates
Why are there two monthly measures of employment?
The household survey and establishment survey both produce sample-based estimates of employment
and both have strengths and limitations. The establishment survey employment series has a
smaller margin of error on the measurement of month-to-month change than the household survey
because of its much larger sample size. An over-the-month employment change of , is statistically
significant in the establishment survey, while the threshold for a statistically significant change in
the household survey is about , However, the household survey has a more expansive scope
than the establishment survey because it includes the self-employed, unpaid family workers, agricultural
workers, and private household workers, who are excluded by the establishment survey. The
household survey also provides estimates of employment for demographic groups.
Are undocumented immigrants counted in the surveys?
Neither the establishment nor household survey is designed to identify the legal status of workers.
Thus, while it is likely that both surveys include at least some undocumented immigrants, it is not
possible to determine how many are counted in either survey. The household survey does include
questions about whether respondents were born outside the United States. Data from these questions
show that foreign-born workers accounted for percent of the labor force in and percent
of the net increase in the labor force from to
Why does the establishment survey have revisions?
The establishment survey revises published estimates to improve its data series by incorporating
additional information that was not available at the time of the initial publication of the estimates.
The establishment survey revises its initial monthly estimates twice, in the immediately succeeding
2 months, to incorporate additional sample receipts from respondents in the survey and recalculated
seasonal adjustment factors. For more information on the monthly revisions, please visit
On an annual basis, the establishment survey incorporates a benchmark revision that re-anchors
estimates to nearly complete employment counts available from unemployment insurance tax records.
The benchmark helps to control for sampling and modeling errors in the estimates. For more information
on the annual benchmark revision, please visit
Does the establishment survey sample include small firms?
Yes; about 40 percent of the establishment survey sample is comprised of business establishments
with fewer than 20 employees. The establishment survey sample is designed to maximize the reliability
of the total nonfarm employment estimate; firms from all size classes and industries are appropriately
sampled to achieve that goal.
Does the establishment survey account for employment from new businesses?
Yes; monthly establishment survey estimates include an adjustment to account for the net employment
change generated by business births and deaths. The adjustment comes from an econometric
model that forecasts the monthly net jobs impact of business births and deaths based on the actual past
values of the net impact that can be observed with a lag from the Quarterly Census of Employment and
Wages. The establishment survey uses modeling rather than sampling for this purpose because the survey
is not immediately able to bring new businesses into the sample. There is an unavoidable lag between
the birth of a new firm and its appearance on the sampling frame and availability for selection.
BLS adds new businesses to the survey twice a year.
Is the count of unemployed persons limited to just those people receiving unemployment insurance
No; the estimate of unemployment is based on a monthly sample survey of households. All persons
who are without jobs and are actively seeking and available to work are included among the unemployed.
(People on temporary layoff are included even if they do not actively seek work.) There is no requirement
or question relating to unemployment insurance benefits in the monthly survey.
Does the official unemployment rate exclude people who have stopped looking for work?
Yes; however, there are separate estimates of persons outside the labor force who want a job,
including those who have stopped looking because they believe no jobs are available (discouraged
workers). In addition, alternative measures of labor underutilization (discouraged workers and other
groups not officially counted as unemployed) are published each month in the Employment Situation
news release.
Technical Note
This news release presents statistics from two major
surveys, the Current Population Survey (household survey)
and the Current Employment Statistics survey (establishment
survey). The household survey provides the information on
the labor force, employment, and unemployment that appears
in the A tables, marked HOUSEHOLD DATA. It is a sample
survey of about 60, households conducted by the U.S.
Census Bureau for the Bureau of Labor Statistics (BLS).
The establishment survey provides the information on
the employment, hours, and earnings of workers on nonfarm
payrolls that appears in the B tables, marked ESTABLISHMENT
DATA. This information is collected from payroll
records by BLS in cooperation with state agencies. The
sample includes about , businesses and government
agencies covering approximately , individual worksites.
The active sample includes about one-third of all nonfarm
payroll workers. The sample is drawn from a sampling
frame of unemployment insurance tax accounts.
For both surveys, the data for a given month relate to a
particular week or pay period. In the household survey, the
reference week is generally the calendar week that contains
the 12th day of the month. In the establishment survey, the
reference period is the pay period including the 12th, which
may or may not correspond directly to the calendar week.
Coverage, definitions, and differences between surveys
Household survey. The sample is selected to reflect
the entire civilian noninstitutional population. Based on
responses to a series of questions on work and job search
activities, each person 16 years and over in a sample
household is classified as employed, unemployed, or not in
the labor force.
People are classified as employed if they did any work
at all as paid employees during the reference week; worked in
their own business, profession, or on their own farm; or
worked without pay at least 15 hours in a family business or
farm. People are also counted as employed if they were
temporarily absent from their jobs because of illness, bad
weather, vacation, labor-management disputes, or personal
People are classified as unemployed if they meet all of
the following criteria: They had no employment during the
reference week; they were available for work at that time; and
they made specific efforts to find employment sometime
during the 4-week period ending with the reference week.
Persons laid off from a job and expecting recall need not be
looking for work to be counted as unemployed. The
unemployment data derived from the household survey in no
way depend upon the eligibility for or receipt of
unemployment insurance benefits.
The civilian labor force is the sum of employed and
unemployed persons. Those not classified as employed or
unemployed are not in the labor force. The unemployment
rate is the number unemployed as a percent of the labor
force. The labor force participation rate is the labor force as
a percent of the population, and the employment-population
ratio is the employed as a percent of the population.
Establishment survey. The sample establishments are
drawn from private nonfarm businesses such as factories,
offices, and stores, as well as federal, state, and local
government entities. Employees on nonfarm payrolls are
those who received pay for any part of the reference pay
period, including persons on paid leave. Persons are counted
in each job they hold. Hours and earnings data are for
private businesses and relate only to production workers in
the goods-producing sector and nonsupervisory workers in
the service-providing sector. Industries are classified on the
basis of their principal activity in accordance with the
version of the North American Industry Classification
Differences in employment estimates. The numerous
conceptual and methodological differences between the
household and establishment surveys result in important
distinctions in the employment estimates derived from the
surveys. Among these are:
&#; The household survey includes agricultural workers,
the self-employed, unpaid family workers, and
private household workers among the employed.
These groups are excluded from the establishment
&#; The household survey includes people on unpaid
leave among the employed. The establishment
survey does not.
&#; The household survey is limited to workers 16 years
of age and older. The establishment survey is not
limited by age.
&#; The household survey has no duplication of
individuals, because individuals are counted only
once, even if they hold more than one job. In the
establishment survey, employees working at more
than one job and thus appearing on more than one
payroll would be counted separately for each
Seasonal adjustment
Over the course of a year, the size of the nation's labor
force and the levels of employment and unemployment
undergo sharp fluctuations due to such seasonal events as
changes in weather, reduced or expanded production,
harvests, major holidays, and the opening and closing of
schools. The effect of such seasonal variation can be very
large; seasonal fluctuations may account for as much as 95
percent of the month-to-month changes in unemployment.
Because these seasonal events follow a more or less
regular pattern each year, their influence on statistical trends
can be eliminated by adjusting the statistics from month to
month. These adjustments make nonseasonal developments,
such as declines in economic activity or increases in the
participation of women in the labor force, easier to spot. For
example, the large number of youth entering the labor force
each June is likely to obscure any other changes that have
taken place relative to May, making it difficult to determine if
the level of economic activity has risen or declined.
However, because the effect of students finishing school in
previous years is known, the statistics for the current year can
be adjusted to allow for a comparable change. Insofar as the
seasonal adjustment is made correctly, the adjusted figure
provides a more useful tool with which to analyze changes in
economic activity.
Most seasonally adjusted series are independently
adjusted in both the household and establishment surveys.
However, the adjusted series for many major estimates, such
as total payroll employment, employment in most
supersectors, total employment, and unemployment are
computed by aggregating independently adjusted component
series. For example, total unemployment is derived by
summing the adjusted series for four major age-sex
components; this differs from the unemployment estimate
that would be obtained by directly adjusting the total or by
combining the duration, reasons, or more detailed age
For both the household and establishment surveys, a
concurrent seasonal adjustment methodology is used in which
new seasonal factors are calculated each month, using all
relevant data, up to and including the data for the current
month. In the household survey, new seasonal factors are
used to adjust only the current month's data. In the
establishment survey, however, new seasonal factors are used
each month to adjust the three most recent monthly estimates.
In both surveys, revisions to historical data are made once a
Reliability of the estimates
Statistics based on the household and establishment
surveys are subject to both sampling and nonsampling error.
When a sample rather than the entire population is surveyed,
there is a chance that the sample estimates may differ from
the "true" population values they represent. The exact
difference, or sampling error, varies depending on the
particular sample selected, and this variability is measured by
the standard error of the estimate. There is about a
percent chance, or level of confidence, that an estimate based
on a sample will differ by no more than standard errors
from the "true" population value because of sampling error.
BLS analyses are generally conducted at the percent level
of confidence.
For example, the confidence interval for the monthly
change in total employment from the household survey is on
the order of plus or minus , Suppose the estimate of
total employment increases by , from one month to
the next. The percent confidence interval on the monthly
change would range from , to , (, +/-
,). These figures do not mean that the sample results
are off by these magnitudes, but rather that there is about a
percent chance that the "true" over-the-month change lies
within this interval. Since this range includes values of less
than zero, we could not say with confidence that employment
had, in fact, increased. If, however, the reported employment
rise was half a million, then all of the values within the
percent confidence interval would be greater than zero. In
this case, it is likely (at least a percent chance) that an
employment rise had, in fact, occurred. At an unemployment
rate of around percent, the percent confidence interval
for the monthly change in unemployment is about
+/,, and for the monthly change in the unemployment
rate it is about +/ percentage point.
In general, estimates involving many individuals or
establishments have lower standard errors (relative to the size
of the estimate) than estimates which are based on a small
number of observations. The precision of estimates is also
improved when the data are cumulated over time such as for
quarterly and annual averages. The seasonal adjustment
process can also improve the stability of the monthly
The household and establishment surveys are also
affected by nonsampling error. Nonsampling errors can
occur for many reasons, including the failure to sample a
segment of the population, inability to obtain information for
all respondents in the sample, inability or unwillingness of
respondents to provide correct information on a timely basis,
mistakes made by respondents, and errors made in the
collection or processing of the data.
For example, in the establishment survey, estimates for
the most recent 2 months are based on incomplete returns; for
this reason, these estimates are labeled preliminary in the
tables. It is only after two successive revisions to a monthly
estimate, when nearly all sample reports have been received,
that the estimate is considered final.
Another major source of nonsampling error in the
establishment survey is the inability to capture, on a timely
basis, employment generated by new firms. To correct for
this systematic underestimation of employment growth, an
estimation procedure with two components is used to account
for business births. The first component uses business deaths
to impute employment for business births. This is incorporated
into the sample-based link relative estimate
procedure by simply not reflecting sample units going out of
business, but imputing to them the same trend as the other
firms in the sample. The second component is an ARIMA
time series model designed to estimate the residual net
birth/death employment not accounted for by the imputation.
The historical time series used to create and test the ARIMA
model was derived from the unemployment insurance
universe micro-level database, and reflects the actual residual
net of births and deaths over the past 5 years.
The sample-based estimates from the establishment
survey are adjusted once a year (on a lagged basis) to
universe counts of payroll employment obtained from
administrative records of the unemployment insurance
program. The difference between the March sample-based
employment estimates and the March universe counts is
known as a benchmark revision, and serves as a rough proxy
for total survey error. The new benchmarks also incorporate
changes in the classification of industries. Over the past
decade, absolute benchmark revisions for total nonfarm
employment have averaged percent, with a range from
percent to percent.
Other information
Information in this release will be made available to
sensory impaired individuals upon request. Voice phone:
() ; TDD message referral phone:

What to Know Before Certifying

Regular UI Certification Timeline

  • The best way to complete your certification is online from am - pm on your designated certification day, including holidays.
  • Thursdays and Fridays are make-up days if you miss your certification day.
  • You may also certify by Tele-Serve at () (am - pm, Monday - Friday).


All new and existing claimants must create an ILogin account. 

Certify (Regular UI, PEUC, or EB)

Certify (PUA)

Note: The last payable week of PUA and PEUC benefits was September 4th,

Maintain your eligibility for current and future unemployment insurance benefits by familiarizing yourself with the following common mistakes or misunderstandings. 

Examples of UI fraud include situations where an individual:

  • Returns to work but continues to collect UI benefits
  • Works at a part-time job but does not report their earnings to IDES, thereby collecting more benefits than are allowed
  • Works odd jobs while collecting UI benefits but does not report the earnings when certifying

Violators could face:

  • Large fines and penalties
  • Prison sentences
  • Offset against state and federal income tax returns
  • Loss of future UI benefits


Note: Any information submitted by you to IDES may be verified through computer matching programs in order to determine your eligibility for Unemployment Insurance benefits.

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Who To CallPhone NumberCall Us About

Unemployment insurance or ILogin questions

Fraud and identity theft (you can also report fraud online)

Employer-related or MyTax Illinois questions Help Desk

Finding a job or using your account

Appointment Scheduling Hotline

Scheduling an in-person or phone appointment

Limited in-person services are available at local IDES workforce offices by appointment only. Phone appointments are also available.

To schedule an appointment, you must call the Scheduling Hotline at ()

Appointment Scheduling

Questions about Unemployment Insurance

For questions about an unemployment insurance (UI) claims, certification and payment, ILogin, appeals, and more:

Phone Number: () Help Desk (for job seekers)

For support with login information (username and password), error messages, or navigating your job search:

Phone Number: ()

IDES offers two ways to certify for unemployment benefits:

  1. Online (preferred)
  2. Tele-Serve
    • Phone Number: ()
    • Hours: AM - PM, Monday - Friday

For reporting lost, stolen, or damaged debit cards:

Phone Number: ()

​If your Social Security number ends in 0 through 4​:

  • In-State: ()
  • Out-of-State: ()

​​If your Social Security number ends in 5 through 9​:

  • In-State: ()
  • Out-of-State: ()

Phone Number: ()

  • When prompted, press 2 for employers

​For reporting fraud and identity theft:

Phone Number: ()

Fax Number: ()

Report Fraud Online

Phone Number: ()

Benefit Accuracy Measurement Unit

Phone Number: ​()

Hour Tax Withholding Fax Line​

​To change your withholding status on your current claim, please complete the TAX-2 form, then sign and fax to the number listed below:​

Fax Number: ()

For support with MyTax Illinois, general tax information, refunds, SIDES registration, and more:

Phone Number: ()

Fax Number: () Assistance (for employers)

For login information (username and password), account approval, posting job orders, resume searches, and finding ideal candidates:

Phone Number: ()

MyTax Illinois and SIDES Registration Hotline

Employers can create a secure account to file required reports, pay taxes, and maintain accounts with IDES and the Illinois Department of Revenue. Employers can also register for SIDES e-response to enable electronic claims protests and receive notice of claims via email.​

Phone Number: ()

Fax Number: ()

​Employers report new employees within 20 days of the employee's first day on the payroll:

Phone Number: ()

Fax Number: ()

Work Opportunity Tax Credit (WOTC)​ State Bonding Coordinator​​​

​WOTC provides federal tax savings to employers who hire people from certain target g​roups, including public assistance recipients, veterans, youth and ex-felons.

Fidelity Bonding protects employers against employee dishonesty, theft or embezzlement.​

Fax Number: ()

Legal Services Program for Small Employers

​For limited free legal services at IDES administrative hearings:

Phone Number: ()

TTY (not toll-free): ()

Phone Number: ()

Labor Market Information​

General information hotline for surveys, careers, and labor market questions:

Phone Number: () (Option 1)

​For reporting cases of improper collection of benefits or improper classification of workers:

Phone Number: () (Option 2)

To report identity theft fraud:

Phone Number: ()

Phone Number: () (Option 3)

Illinois Relay and TTY Numbers

Individuals with a hearing impairment who would like to speak with someone in the Claimant Services Center should dial  for the Illinois Relay System. Once connected, please direct the communications analyst to call IDES at

Illinois Relay: () TTY or

Illinois Relay: () Voice or ​​​

Best time to call? We say around 4pm.

From IDES: 1 ()
Why certify for benefits (or, why 'claim weeks' of unemployment)?

> ()

If you do not certify, you will not receive Unemployment Insurance benefits!

The term &#;certification" is used by IDES to describe how you claim (weeks of unemployment and receive benefits if you are entitled.This term is used because you are &#;certifying&#; on a biweekly basis that your answers to the questions in Tele-Serveabout your unemployment status are correct. Your answers to these questions are factors in determining your entitlement to benefits for the weeks for which you are claiming. >> Click for the Tele-Serve brochure| en Español
Note: Before any benefits can be paid on a new claim, you must serve a non-paid "waiting week". Electronic payments made to eligible individuals are generally available within business days of certification.

What if the Tele-Serve phone number is busy?

Wait. Call volume is particularly high early in the morning (especially Mondays and Tuesdays). If the number is busy, hang up, and try calling again in the afternoon or up to p.m. that same day. Certifying early on your scheduled call date doesn't make payments come any faster.
If you miss your scheduled call date, you may still call on Thursday or Friday of the same week. You may also call on your regular call day the following week (or Thursday or Friday of that week).
Please remember, if you do not certify - or claim weeks - for unemployment benefits, you will not receive any payment.

s Mailed by IDES for Tax Year

Chicago (1/27) - Because unemployment benefits are subject to federal and state income tax, each year Form G is mailed by January 31st to those individuals who received UI benefits in the previous calendar year, using the last address on file. These documents may be forwarded, provided the Post Office has a current "mail forwarding" request on file.

What is the Tele-Serve system?

From 6 a.m. to p.m, Monday through Friday, including many holidays, the IDES Tele-Serve system is a fast, safe, reliable touch-tone phone service that enables you to do the following from the basic menu:
Press 1 Claim Weeks of Unemployment
Press 2 Reopen Your Claim
Press 3 Check Status Of Your Claim
Press 4Establish or Change Your PIN
Press 5Obtain General Information About IDES

When should I certify using Tele-Serve?

Approximately two weeks after you have filed your claim you must certify the first time for benefits by calling Tele-Serve.

Information and instructions will be mailed indicating your Bi-Weekly Certification Call Day and the date you should first call Tele-Serve to certify. If you do not receive this information sheet within two weeks from the date your claim was filed, contact your local office immediately.

After your first certification, you will continue to call Tele-Serve on a biweekly basis on your call day. Your specific date to call Tele-Serve will be printed on your Statement of Certification which will be mailed to you after each time you certify. >> more on this process for those who filed an internet claim

What are the phone numbers?

Statewide Tele-Serve number
(including callers in the Chicago area)

TDD (Hearing Impaired)
(Hours for TDD-only: - on regular business days)

Unemployment benefits and taxes

Federal tax form G's are mailed at the end of January each year to those individuals who received UI benefits in the previous calendar year. These documents may be forwarded, provided the U.S. Post Office has a current "mail forwarding" request on file.
Claimants who have not received their form should also contact the local office where their claim was filed for more information, assistance, or to update their IDES address record. Some individuals may be able to obtain a new form through Tele-Serve.

When you call, be sure to have your:

  • social security number
  • personal identification number (PIN)
  • earnings before taxes
  • your latest Statement of Certification
  • Paper and pencil to record any information given to you during your call

Certification Questions You Will Be Asked:

  • Have you received or will you receive holiday pay? (Have holiday pay amount available)
  • Did you work? (Have earnings before taxes available)
  • Has your dependency status changed?
  • Were you able to work and available for work?
  • Did you actively look for work?
  • Are you receiving or have you applied for a Social Security pension?
  • Other than Social Security, are you receiving or have you applied for a retirement or disability pension?
  • Are you attending school or receiving training?
  • Have you claimed or will you receive workers' compensation for a temporary disability?
Address and name changes:
  • Has your phone number changed? Enter your new ten-digit telephone number; Tele-Serve will read it back to you for verification. Confirm if correct.
  • Has your mailing address or name changed?
  • Call your Local Office during business hours to report address and name changes.
Tele-Serve will tell you the number to call or see the directoryof local offices.

Important things to remember about Tele-Serve

Do not hang up until Tele-Serve tells you your claim has been accepted:
"This ends your filing at this time."
Guard your PIN: you are responsible for all activity on your claim! Record your work search efforts each week on the form provided by IDES.

Certify number ides

IDES TeleServe certification number to change



May 14,  at  PMMay 14,  at  PM

The TeleServe certification number will change to () (IDES). The current TeleServe number will be in use through the end of the day on May Internet certification does not change and remains the preferred method for timeliness and accuracy, the Illinois Department of  Employment Security (IDES) said today. The change will save Illinois taxpayers $2 million each year.

 “Our role in the Illinois economy is two-fold. We use specific programs to link together job seekers and businesses so both can be successful. And we do so  through programs that protect taxpayer dollars and fight waste, fraud and abuse,” IDES Director Jay Rowell said. “Today is another example of a state agency looking to streamline operations and save money while staying responsible to its core mission.”

Workers eligible for unemployment insurance must contact IDES every two weeks to confirm that they are actively pursuing work and meeting other eligibility  requirements. This fraud prevention tool is known as certifying for benefits, and it can be accomplished at

The internet remains the preferred method to certify because it has significant advantages: It is faster and easier. Successful confirmation is immediate. The  possibility of pressing the wrong button is eliminated, thereby preventing missed benefit payments. Currently, percent of unemployment insurance benefit payments are electronic. Nearly 60 percent of all unemployment insurance applications are submitted through the internet, and nearly 40 percent of those collecting benefits currently use the internet to certify.

Internet certification also can help the long-term unemployed become more confident with their computer skills, thereby reducing a significant barrier to re-employment. Other advantages associated with internet certification outweigh any perceived negatives. Modern telephone plans have bundled minutes that no longer consider long-distance charges, making the current toll-free option less appealing.

Illinois businesses are hiring. More than , help-wanted ads are on, the IDES employment website that links job seekers with employers. Keyword matching technology increases the likelihood of a successful new hire and compares favorably to private efforts that cost hundreds of dollars. No-cost HR recruitment services for business owners are available at the website and at ()

Star Certification - C Programming - Exploring IDEs

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