Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mendocino County, CA
Series ID MHICILBCA06045A052NCEN
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 1:12 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 22052
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25221
1994-01-01 .
1995-01-01 26991
1996-01-01 .
1997-01-01 29223
1998-01-01 29951
1999-01-01 31855
2000-01-01 33647
2001-01-01 32880
2002-01-01 33285
2003-01-01 33686
2004-01-01 34386
2005-01-01 37576
2006-01-01 37318
2007-01-01 39331
2008-01-01 40109
2009-01-01 38850
2010-01-01 37295
2011-01-01 37995
2012-01-01 37836
2013-01-01 38861
2014-01-01 40000
2015-01-01 39859
2016-01-01 41634
2017-01-01 46225
2018-01-01 47865
2019-01-01 48788
2020-01-01 49087
2021-01-01 51658
2022-01-01 58519

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