Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Camas County, ID
Series ID MHICILBID16025A052NCEN
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 1:54 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 24148
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27636
1994-01-01 .
1995-01-01 26127
1996-01-01 .
1997-01-01 32271
1998-01-01 32349
1999-01-01 32127
2000-01-01 33262
2001-01-01 33393
2002-01-01 33720
2003-01-01 33284
2004-01-01 35297
2005-01-01 35576
2006-01-01 38318
2007-01-01 45077
2008-01-01 44184
2009-01-01 42747
2010-01-01 42101
2011-01-01 40713
2012-01-01 43814
2013-01-01 43314
2014-01-01 44204
2015-01-01 41535
2016-01-01 43874
2017-01-01 45284
2018-01-01 48091
2019-01-01 49129
2020-01-01 50177
2021-01-01 51132
2022-01-01 64685

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