Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, WY
Series ID MHICIUBWY56023A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:51 PM 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 32356
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38192
1994-01-01 .
1995-01-01 42121
1996-01-01 .
1997-01-01 43683
1998-01-01 44705
1999-01-01 44600
2000-01-01 46886
2001-01-01 47000
2002-01-01 47808
2003-01-01 50232
2004-01-01 51689
2005-01-01 52301
2006-01-01 54818
2007-01-01 59443
2008-01-01 65930
2009-01-01 65039
2010-01-01 63282
2011-01-01 65297
2012-01-01 65907
2013-01-01 70481
2014-01-01 69277
2015-01-01 68201
2016-01-01 70285
2017-01-01 71663
2018-01-01 76193
2019-01-01 74417
2020-01-01 81192
2021-01-01 82866
2022-01-01 101763

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