Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Inyo County, CA
Series ID MHICIUBCA06027A052NCEN
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 1:53 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 27777
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30146
1994-01-01 .
1995-01-01 33320
1996-01-01 .
1997-01-01 35987
1998-01-01 38127
1999-01-01 36884
2000-01-01 39193
2001-01-01 38393
2002-01-01 39437
2003-01-01 40031
2004-01-01 41405
2005-01-01 43477
2006-01-01 44569
2007-01-01 50385
2008-01-01 51480
2009-01-01 47706
2010-01-01 48535
2011-01-01 48987
2012-01-01 49438
2013-01-01 49668
2014-01-01 54247
2015-01-01 56139
2016-01-01 57696
2017-01-01 58413
2018-01-01 58267
2019-01-01 66041
2020-01-01 58247
2021-01-01 69407
2022-01-01 71556

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