Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lincoln County, NV
Series ID MHICIUBNV32017A052NCEN
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 30931
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31372
1994-01-01 .
1995-01-01 33108
1996-01-01 .
1997-01-01 36377
1998-01-01 39550
1999-01-01 36477
2000-01-01 37249
2001-01-01 35858
2002-01-01 37340
2003-01-01 38691
2004-01-01 40960
2005-01-01 40742
2006-01-01 45880
2007-01-01 48866
2008-01-01 49154
2009-01-01 48802
2010-01-01 46750
2011-01-01 47178
2012-01-01 47346
2013-01-01 48818
2014-01-01 50501
2015-01-01 56145
2016-01-01 55335
2017-01-01 60690
2018-01-01 61512
2019-01-01 65434
2020-01-01 69372
2021-01-01 72140
2022-01-01 72104

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