Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Churchill County, NV
Series ID MHICILBNV32001A052NCEN
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 24582
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30359
1994-01-01 .
1995-01-01 32636
1996-01-01 .
1997-01-01 34927
1998-01-01 37174
1999-01-01 37626
2000-01-01 38753
2001-01-01 38369
2002-01-01 39046
2003-01-01 40467
2004-01-01 42922
2005-01-01 45363
2006-01-01 44198
2007-01-01 44419
2008-01-01 49902
2009-01-01 47092
2010-01-01 44281
2011-01-01 46014
2012-01-01 45022
2013-01-01 45415
2014-01-01 42920
2015-01-01 49465
2016-01-01 45302
2017-01-01 48644
2018-01-01 53263
2019-01-01 49868
2020-01-01 54991
2021-01-01 60560
2022-01-01 62229

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