Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, WY

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lincoln County, WY
Series ID MHICILBWY56023A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:02 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 27773
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33549
1994-01-01 .
1995-01-01 35919
1996-01-01 .
1997-01-01 37478
1998-01-01 38495
1999-01-01 39032
2000-01-01 40275
2001-01-01 40843
2002-01-01 41545
2003-01-01 44142
2004-01-01 45452
2005-01-01 44878
2006-01-01 46736
2007-01-01 50019
2008-01-01 54559
2009-01-01 53280
2010-01-01 53068
2011-01-01 54827
2012-01-01 55727
2013-01-01 64031
2014-01-01 57873
2015-01-01 56527
2016-01-01 57529
2017-01-01 58611
2018-01-01 63003
2019-01-01 68121
2020-01-01 64932
2021-01-01 68878
2022-01-01 84325
2023-01-01 76829

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