Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nevada

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nevada
Series ID MHICILBNV32000A052NCEN
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 1:11 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 30614
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31792
1994-01-01 .
1995-01-01 34694
1996-01-01 36186
1997-01-01 37558
1998-01-01 38082
1999-01-01 40561
2000-01-01 42827
2001-01-01 42817
2002-01-01 42839
2003-01-01 43826
2004-01-01 45736
2005-01-01 48498
2006-01-01 51901
2007-01-01 54155
2008-01-01 55670
2009-01-01 52433
2010-01-01 50262
2011-01-01 48171
2012-01-01 49131
2013-01-01 50676
2014-01-01 50828
2015-01-01 51612
2016-01-01 54342
2017-01-01 57032
2018-01-01 57678
2019-01-01 62281
2020-01-01 63272
2021-01-01 65202
2022-01-01 71348

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