Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Mariposa County, CA
Series ID MHICIUBCA06043A052NCEN
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 24483
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28990
1994-01-01 .
1995-01-01 32413
1996-01-01 .
1997-01-01 34272
1998-01-01 35817
1999-01-01 35517
2000-01-01 37876
2001-01-01 36610
2002-01-01 37857
2003-01-01 37755
2004-01-01 39806
2005-01-01 43086
2006-01-01 44361
2007-01-01 46507
2008-01-01 48788
2009-01-01 47060
2010-01-01 46247
2011-01-01 46458
2012-01-01 46969
2013-01-01 49313
2014-01-01 51161
2015-01-01 48063
2016-01-01 55459
2017-01-01 56529
2018-01-01 56290
2019-01-01 58928
2020-01-01 64948
2021-01-01 66630
2022-01-01 72637

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