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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bleckley County, GA MHICIUBGA13023A052NCEN U.S. Census Bureau Small Area Income and Poverty Estimates Not Seasonally Adjusted Annual Dollars 1989-01-01 to 2022-01-01 2023-12-14 1:11 PM CST 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 26485
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29676
1994-01-01 .
1995-01-01 31679
1996-01-01 .
1997-01-01 34827
1998-01-01 34952
1999-01-01 34896
2000-01-01 37160
2001-01-01 35750
2002-01-01 36560
2003-01-01 37559
2004-01-01 38189
2005-01-01 40014
2006-01-01 40214
2007-01-01 42524
2008-01-01 43995
2009-01-01 42546
2010-01-01 42191
2011-01-01 43554
2012-01-01 44854
2013-01-01 44212
2014-01-01 44790
2015-01-01 46769
2016-01-01 45901
2017-01-01 48285
2018-01-01 50894
2019-01-01 53960
2020-01-01 59140
2021-01-01 58093
2022-01-01 62808