Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clark County, ID
Series ID MHICILBID16033A052NCEN
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 3:13 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 19462
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27225
1994-01-01 .
1995-01-01 23265
1996-01-01 .
1997-01-01 26205
1998-01-01 28328
1999-01-01 29431
2000-01-01 31505
2001-01-01 31656
2002-01-01 29996
2003-01-01 30040
2004-01-01 28841
2005-01-01 29614
2006-01-01 31399
2007-01-01 33980
2008-01-01 36457
2009-01-01 37263
2010-01-01 37318
2011-01-01 36554
2012-01-01 40539
2013-01-01 38611
2014-01-01 41001
2015-01-01 35838
2016-01-01 37472
2017-01-01 37476
2018-01-01 43239
2019-01-01 42927
2020-01-01 45501
2021-01-01 46487
2022-01-01 46588
2023-01-01 48590

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