Object Catalogue:
Named Asteroids Beginning with W

Click object name to display position in the Your Sky Virtual telescope.
Click ⊚ symbol to plot orbit in Solar System Live.

Name	Number	Semi-major Axis (AU)	Eccentricity	Inclination	Absolute Magnitude
Wabash ⊚	2453	3.02	0.11	10.3	11.28
Wabi-Sabi ⊚	10585	2.21	0.09	3.3	15.22
Wachholz ⊚	8501	3.03	0.06	10.8	12.93
Wachmann ⊚	1704	2.22	0.09	1.0	13.02
Wachter ⊚	157541	2.30	0.04	6.3	16.30
Wacker ⊚	12861	2.57	0.12	0.9	14.76
Wadeparker ⊚	210983	3.08	0.06	15.3	15.10
Wadesisler ⊚	121032	1.83	0.22	40.0	16.75
Wade ⊚	4710	2.25	0.09	5.0	13.12
Wadhwa ⊚	8356	2.43	0.29	23.1	13.12
Wafakhalil ⊚	21387	2.37	0.12	3.5	14.84
Wage ⊚	22562	2.75	0.13	2.4	14.45
Wagman ⊚	3110	2.56	0.13	2.2	12.85
Wagner ⊚	3992	3.02	0.08	10.4	11.57
Wainscoat ⊚	9725	2.46	0.16	1.9	15.31
Wakabayashi ⊚	5128	2.76	0.15	7.0	12.89
Wakamatsu ⊚	8399	2.43	0.12	1.2	14.98
Wakanaootaki ⊚	41199	2.62	0.29	16.4	14.22
Wakatatakayo ⊚	12415	2.28	0.17	4.7	14.14
Wakata ⊚	6208	2.25	0.10	0.9	14.09
Wakenokiyomaro ⊚	7627	2.87	0.11	3.7	13.27
Wake ⊚	17038	2.62	0.08	5.9	14.20
Wakiya ⊚	5847	2.54	0.30	6.6	13.11
Wakkanai ⊚	5960	2.19	0.15	4.3	13.86
Waland ⊚	3734	2.75	0.05	3.5	12.88
Walbeck ⊚	1695	2.78	0.29	16.7	12.63
Walborn ⊚	25942	3.09	0.21	3.3	13.85
Waldman ⊚	18021	2.75	0.11	4.1	14.47
Waldron ⊚	32561	2.60	0.17	3.1	15.08
Waldtrudering ⊚	11005	2.66	0.20	8.4	13.49
Wald ⊚	31956	2.73	0.03	2.3	14.58
Walentosky ⊚	25019	2.28	0.18	4.4	14.78
Walesdymond ⊚	15045	2.78	0.05	1.6	14.81
Walford ⊚	4629	2.66	0.21	11.9	13.60
Walhalla ⊚	1260	2.61	0.04	8.0	12.47
Walinskia ⊚	1417	2.97	0.08	8.3	11.08
Walker ⊚	6372	3.18	0.16	15.8	11.44
Walkowicz ⊚	205599	2.14	0.03	2.9	18.31
Walkure ⊚	877	2.49	0.16	4.3	10.90
Wallace ⊚	21903	3.05	0.04	9.7	12.72
Wallach ⊚	6670	2.73	0.29	20.2	12.53
Wallenbergia ⊚	1153	2.20	0.16	3.3	12.17
Wallenquist ⊚	2114	3.20	0.14	0.6	11.91
Wallenstadt ⊚	23477	2.69	0.12	12.5	13.74
Wallerius ⊚	79410	2.38	0.20	25.1	15.20
Wallia ⊚	987	3.14	0.23	8.9	9.57
Wallin ⊚	66661	3.11	0.18	28.2	14.24
Wallmuth ⊚	22630	2.44	0.17	4.2	15.37
Wallonia ⊚	3198	2.18	0.24	18.0	13.21
Walpurga ⊚	256	3.00	0.07	13.3	9.96
Walraven ⊚	1946	2.29	0.24	8.2	12.13
Walschap ⊚	17506	2.32	0.10	7.2	14.86
Walshkevin ⊚	7987	2.77	0.21	3.3	13.93
Walsh ⊚	7398	2.19	0.04	4.9	14.36
Walstein ⊚	23014	2.57	0.18	3.7	14.71
Waltari ⊚	4266	3.17	0.18	16.5	12.08
Walter Adams ⊚	3145	2.19	0.24	5.0	14.19
Walteranderson ⊚	9132	3.11	0.17	2.6	12.77
Walterbos ⊚	172317	2.75	0.09	14.1	15.79
Walterbothe ⊚	19178	2.57	0.26	3.9	14.42
Waltercugno ⊚	15968	3.22	0.13	1.0	13.39
Walterhansen ⊚	25680	2.46	0.07	6.5	15.07
Walterhorn ⊚	2749	3.18	0.17	0.3	12.59
Walterkroll ⊚	9187	2.39	0.20	4.4	14.80
Waltermaria ⊚	246153	2.46	0.18	1.9	17.09
Waltersiegmund ⊚	168638	2.78	0.09	2.4	16.39
Walterstraube ⊚	157015	3.12	0.07	9.7	15.00
Walterworman ⊚	30080	2.64	0.15	13.5	15.01
Walter ⊚	8021	2.37	0.22	23.8	13.42
Waltharris ⊚	54932	3.10	0.17	1.8	14.84
Waltherschmadel ⊚	8811	2.73	0.09	4.0	13.99
Waltimyer ⊚	22998	3.19	0.13	2.6	14.57
Waltraut ⊚	890	3.02	0.06	10.9	10.58
Wambsganss ⊚	19162	2.72	0.09	2.3	13.76
Wamsley ⊚	33681	2.40	0.12	2.3	15.60
Wanach ⊚	10657	2.80	0.04	3.6	14.66
Wanambi ⊚	9484	3.09	0.17	1.9	13.62
Wanda ⊚	1057	2.89	0.25	3.5	11.06
Wanders ⊚	10428	2.57	0.18	2.8	15.63
Wangchaohao ⊚	20778	2.40	0.15	2.8	15.07
Wangchristi ⊚	26680	2.56	0.14	7.7	14.39
Wangdaheng ⊚	17693	2.99	0.09	10.1	13.79
Wangdemin ⊚	210231	2.44	0.19	2.3	17.00
Wangenevieve ⊚	26688	2.89	0.02	2.9	14.59
Wangganchang ⊚	14558	3.00	0.11	9.9	13.21
Wanghaoyu ⊚	25573	2.57	0.13	9.8	14.45
Wangjiayi ⊚	28305	2.62	0.12	2.0	14.68
Wangler ⊚	16944	2.44	0.19	9.9	14.71
Wangmanqiang ⊚	25577	2.38	0.04	5.9	15.10
Wangshouguan ⊚	3171	3.19	0.14	11.4	11.19
Wangshui ⊚	172318	2.79	0.12	9.0	15.97
Wangxichan ⊚	207716	2.38	0.19	1.0	17.21
Wangxuan ⊚	4913	2.44	0.19	3.0	13.29
Wangyinglai ⊚	355704	3.06	0.13	6.6	16.02
Wangyiran ⊚	21770	2.35	0.05	5.1	14.51
Wangyongzhi ⊚	46669	3.04	0.11	13.0	14.61
Wangzhaoxin ⊚	23759	2.22	0.14	3.7	15.49
Wangzhenyi ⊚	43259	2.58	0.17	10.7	13.40
Wangzhongcheng ⊚	18593	2.44	0.08	2.9	15.02
Wani ⊚	18291	2.58	0.23	4.4	14.35
Wanke ⊚	5762	2.34	0.14	4.8	14.06
Wanli ⊚	289608	2.37	0.09	4.5	17.25
Wannberg ⊚	11807	3.07	0.11	8.9	13.92
Wannes ⊚	13044	2.54	0.14	12.2	13.82
Wanruomeng ⊚	31283	2.65	0.18	5.7	15.46
Warashina ⊚	33523	2.29	0.17	4.4	15.25
Warchal ⊚	28019	2.25	0.12	4.8	15.51
Warck ⊚	2276	2.37	0.17	2.5	13.05
Ward ⊚	4908	2.19	0.23	4.6	13.78
Warell ⊚	11797	2.68	0.19	12.1	13.48
Wargetz ⊚	133854	2.53	0.19	14.2	15.55
Warhol ⊚	6701	2.60	0.15	12.8	12.58
Warmenhoven ⊚	12633	2.40	0.11	1.6	15.26
Warmuth ⊚	30155	2.31	0.12	3.8	15.71
Warner ⊚	8734	2.87	0.05	3.3	13.59
Warot ⊚	18862	2.46	0.15	1.9	14.60
Warrenastro ⊚	75836	2.52	0.11	3.4	15.35
Warrener ⊚	21671	2.60	0.05	14.7	13.87
Warren ⊚	5597	2.44	0.21	4.6	13.50
Wartburg ⊚	5478	2.54	0.14	8.0	12.79
Waseda ⊚	9350	2.37	0.22	2.6	14.42
Washingtonia ⊚	886	3.18	0.26	16.8	9.37
Washioyama ⊚	7274	2.33	0.14	10.7	14.10
Washi ⊚	9063	2.31	0.16	4.8	14.55
Wassenbergh ⊚	5756	2.58	0.23	7.6	14.16
Wasserburg ⊚	4765	1.95	0.06	23.7	14.10
Wasserkuppe ⊚	10242	2.42	0.15	2.0	14.98
Wasserman ⊚	2660	2.62	0.17	12.3	12.09
Wasson ⊚	4783	2.55	0.21	16.6	13.50
Wastyk ⊚	29979	2.45	0.07	6.2	15.40
Wasyuzan ⊚	11827	2.28	0.15	3.2	14.95
Watanabe ⊚	4155	2.43	0.24	6.0	13.28
Waterfield ⊚	1645	3.06	0.11	1.0	11.12
Waterloo ⊚	30835	2.39	0.14	5.3	15.20
Waterman ⊚	1822	2.17	0.15	1.0	13.18
Waterwayuni ⊚	27660	2.79	0.21	9.3	13.51
Watkins ⊚	469366	2.93	0.54	11.1	18.08
Watsonia ⊚	729	2.76	0.10	18.0	9.41
Watterson ⊚	7784	2.27	0.24	23.3	13.64
Watters ⊚	133009	2.93	0.07	10.8	15.15
Watts ⊚	1798	2.20	0.12	6.2	13.03
Watt ⊚	5961	2.40	0.14	1.6	13.93
Wawel ⊚	1352	2.78	0.07	3.8	11.24
Waylonreid ⊚	33682	2.61	0.02	2.4	15.30
Wayneanderson ⊚	13840	2.42	0.15	2.1	14.54
Waynebailey ⊚	50721	2.49	0.16	9.5	14.58
Waynebrown ⊚	13425	3.06	0.15	0.7	13.72
Wayneclark ⊚	13880	2.42	0.14	3.8	14.11
Waynedwards ⊚	8996	3.09	0.14	7.0	14.28
Waynejohnson ⊚	176103	2.30	0.17	1.9	17.42
Wayneolm ⊚	8482	3.33	0.08	3.1	13.31
Waynerichie ⊚	14597	2.33	0.18	2.5	15.12
Wayneseyfert ⊚	19816	2.22	0.11	5.1	15.27
Wearydunlop ⊚	11425	2.37	0.23	3.2	15.45
Weathers ⊚	29198	2.60	0.10	16.6	13.33
Weatherwax ⊚	29633	2.28	0.10	4.9	15.12
Weaver ⊚	3107	2.20	0.21	1.6	13.47
Webbert ⊚	199574	2.53	0.05	0.1	17.87
Webb ⊚	3041	2.59	0.15	14.6	12.54
Webern ⊚	4529	3.01	0.06	11.0	12.50
Weber ⊚	4152	3.18	0.09	17.6	12.15
Webster ⊚	12431	2.56	0.08	15.6	14.11
Weckmann ⊚	7587	2.26	0.16	5.5	14.27
Weeks ⊚	5057	3.12	0.15	7.0	12.55
Weems ⊚	12196	2.45	0.13	3.6	14.66
Weena ⊚	283142	2.64	0.04	21.3	15.78
Weerstra ⊚	5151	3.19	0.20	1.0	13.56
Wegener ⊚	29227	2.39	0.19	2.5	14.27
Wegley ⊚	27588	2.78	0.01	4.6	14.83
Wehinger ⊚	115326	2.76	0.18	2.9	15.25
Wehlau ⊚	204786	2.59	0.05	0.4	17.23
Weidenschilling ⊚	3639	2.40	0.10	2.2	13.28
Weidner ⊚	199741	3.17	0.07	2.1	16.34
Weierstrass ⊚	14100	3.13	0.10	0.6	13.61
Weigan ⊚	18905	2.28	0.11	1.6	15.35
Weigel ⊚	9315	2.38	0.17	2.5	14.63
Weigle ⊚	200255	2.65	0.13	1.3	17.22
Weihai ⊚	207931	2.59	0.05	2.6	16.36
Weihenmayer ⊚	8327	2.68	0.14	1.4	14.04
Weill ⊚	11899	3.17	0.02	9.8	13.15
Weimar ⊚	3539	2.66	0.16	13.7	12.58
Weinbaum ⊚	196540	2.74	0.27	8.5	16.41
Weinberg ⊚	6036	2.76	0.20	13.9	13.49
Weinek ⊚	7114	3.14	0.14	5.2	13.00
Weinheim ⊚	183182	2.43	0.32	6.9	16.52
Weirather ⊚	18680	2.36	0.08	6.3	14.74
Weir ⊚	4085	2.61	0.11	14.2	12.29
Weisell ⊚	2802	3.11	0.12	9.6	11.04
Weiser ⊚	30955	3.19	0.17	6.9	13.01
Weiskopf ⊚	17050	2.22	0.13	1.5	14.90
Weisse Rose ⊚	7571	3.10	0.15	2.2	12.81
Weissflog ⊚	22168	2.16	0.27	3.0	15.79
Weisshaidinger ⊚	341317	2.78	0.17	8.7	16.60
Weissman ⊚	3197	2.67	0.18	16.4	11.66
Weixunjing ⊚	33991	2.39	0.14	5.6	15.44
Weizsacker ⊚	13531	3.04	0.07	8.3	13.14
Welch ⊚	2405	3.20	0.13	2.2	11.72
Welcker ⊚	13718	2.20	0.12	4.9	15.51
Weller ⊚	5464	2.67	0.18	14.1	12.56
Wellman ⊚	33419	2.46	0.06	9.5	14.77
Wellnitz ⊚	4958	3.01	0.08	9.1	11.64
Wells ⊚	1721	3.15	0.05	16.1	10.98
Wellton-Persson ⊚	13437	2.35	0.09	1.5	15.11
Weltenburg ⊚	85198	3.03	0.10	8.8	14.46
Welther ⊚	3682	2.76	0.32	13.6	11.84
Welty ⊚	31268	2.64	0.13	10.3	13.92
Welzenbach ⊚	6468	2.68	0.07	2.3	13.23
Welzl ⊚	15425	2.63	0.15	12.2	13.20
Wempe ⊚	1950	2.18	0.08	4.2	13.25
Wenchang ⊚	216343	2.65	0.18	14.3	16.49
Wenchuan ⊚	161715	2.55	0.16	3.6	16.10
Wendeesther ⊚	6485	1.91	0.15	20.5	14.08
Wendelinefroger ⊚	15268	2.37	0.24	2.8	14.72
Wendeline ⊚	1438	3.16	0.24	2.0	11.63
Wendybauer ⊚	35768	2.91	0.06	3.4	14.47
Wendycalvin ⊚	5662	2.99	0.02	8.5	12.98
Wendyfreedman ⊚	107638	2.58	0.15	8.6	15.96
Wendyslijk ⊚	30111	2.35	0.09	7.1	15.09
Wendy ⊚	2993	2.59	0.20	12.3	12.22
Wenjengko ⊚	133814	3.15	0.07	16.0	14.74
Wenjiali ⊚	32047	2.57	0.17	4.4	15.29
Wenlingshuguang ⊚	14147	2.33	0.03	3.6	14.09
Wenpingchen ⊚	19470	2.89	0.06	1.1	14.07
Wensayling ⊚	145545	3.30	0.17	15.4	15.02
Wentworth ⊚	20585	2.22	0.04	6.0	14.75
Wenxili ⊚	26694	2.41	0.08	7.3	15.11
Wenyicai ⊚	16122	2.42	0.17	2.1	15.71
Wenyucao ⊚	27101	2.28	0.17	5.4	15.38
Wenzel ⊚	58607	2.26	0.09	6.5	15.85
Werber ⊚	381048	2.28	0.15	0.4	18.06
Werckmeister ⊚	322574	2.55	0.38	6.7	16.64
Werdandi ⊚	621	3.13	0.14	2.3	11.10
Werfel ⊚	12244	3.07	0.10	9.0	13.26
Weringia ⊚	226	2.72	0.20	16.0	9.96
Werkhoven ⊚	13357	2.75	0.16	6.9	13.65
Werner ⊚	3891	2.41	0.18	1.6	14.47
Werntz ⊚	21989	3.12	0.17	3.8	14.08
Werra ⊚	1302	3.11	0.18	2.6	11.01
Wertheimer ⊚	178294	2.48	0.25	3.2	16.79
Werth ⊚	13559	3.00	0.10	13.7	13.27
Weryk ⊚	9281	2.45	0.17	2.2	14.62
Weseley ⊚	25513	2.24	0.05	5.1	14.31
Wesleyfraser ⊚	10019	3.09	0.11	2.8	13.82
Wesleyfuller ⊚	17785	2.22	0.16	4.8	14.70
Wesselenyi ⊚	260601	2.21	0.10	3.0	18.55
Wesselink ⊚	1945	2.55	0.18	4.2	12.80
Wesson ⊚	2017	2.25	0.19	4.9	12.81
Westenburger ⊚	138445	2.36	0.14	4.7	16.50
Westerbork ⊚	9498	2.36	0.21	1.8	15.88
Westerhout ⊚	5105	2.60	0.16	11.7	12.19
Westerlund ⊚	2902	2.20	0.20	4.4	14.05
Westerwald ⊚	10253	2.30	0.15	0.4	15.23
Westfall ⊚	28602	2.63	0.05	3.0	15.05
Westlane ⊚	12437	3.00	0.17	4.0	14.08
Westonbraun ⊚	28852	2.63	0.09	3.8	14.19
Westonia ⊚	25434	2.18	0.10	3.5	15.69
Westphalia ⊚	930	2.43	0.14	15.3	11.31
Westrich ⊚	15622	2.25	0.06	3.7	15.12
West ⊚	2022	2.70	0.12	5.7	11.75
Wetherill ⊚	2128	2.74	0.38	16.9	14.38
Wetmore ⊚	90429	2.44	0.13	1.9	16.70
Wettin ⊚	90709	2.80	0.20	7.8	15.32
Wetton ⊚	72802	2.93	0.09	5.1	15.04
Wettzell ⊚	38270	2.55	0.25	14.5	14.97
Weymouth ⊚	19294	2.40	0.10	5.9	14.61
Whalen ⊚	17258	2.25	0.18	4.7	15.61
Wheeler ⊚	31555	2.27	0.05	6.9	15.13
Whipple ⊚	1940	3.06	0.06	6.6	11.29
Whitaker ⊚	7948	2.44	0.05	0.5	13.82
Whitehorne ⊚	144907	2.97	0.11	0.5	16.08
Whitehouse ⊚	4036	2.80	0.15	4.7	13.06
Whiteknight ⊚	17612	3.08	0.02	8.4	14.09
Whiteley ⊚	18839	2.98	0.08	10.6	13.44
Whiterabbit ⊚	17942	2.39	0.12	4.5	14.67
White ⊚	10730	2.16	0.11	3.8	14.01
Whitfield ⊚	12863	2.27	0.10	2.9	14.69
Whitford ⊚	2301	3.18	0.21	11.6	11.16
Whithagins ⊚	28667	2.78	0.12	4.2	15.26
Whither ⊚	115312	2.40	0.13	3.0	16.17
Whitley ⊚	4779	3.19	0.12	0.9	12.53
Whitneyclavin ⊚	249519	2.68	0.09	7.2	16.33
Whitney ⊚	4346	3.02	0.09	10.2	12.66
Whitson ⊚	15057	3.19	0.15	2.1	14.25
Whittemora ⊚	931	3.18	0.23	11.5	9.29
Whittle ⊚	44217	2.58	0.06	13.6	13.10
Wiberg ⊚	27267	2.35	0.12	9.1	14.59
Wichmann ⊚	7103	3.02	0.08	10.2	12.85
Wichterle ⊚	3899	3.19	0.18	2.8	11.56
Wickramasekara ⊚	25875	2.28	0.16	7.0	14.51
Wickwar ⊚	19833	2.89	0.03	2.5	14.97
Widemann ⊚	20606	3.07	0.13	8.9	13.60
Widmanstatten ⊚	21564	3.09	0.19	16.8	12.68
Widorn ⊚	3721	3.02	0.08	8.8	11.97
Wieck ⊚	10734	3.02	0.05	9.4	13.02
Wiegert ⊚	15068	3.98	0.22	1.7	14.03
Wieland ⊚	8108	2.37	0.12	6.7	13.87
Wielen ⊚	4548	2.29	0.06	8.3	14.02
Wielicki ⊚	173094	2.87	0.05	1.1	16.38
Wiener ⊚	18182	2.83	0.00	1.1	14.59
Wienphilo ⊚	178263	3.16	0.23	27.8	15.10
Wiens ⊚	41795	3.04	0.16	9.7	14.15
Wiesendangen ⊚	144096	2.34	0.22	1.2	17.47
Wiesenthal ⊚	69275	2.80	0.24	8.7	14.69
Wiese ⊚	509018	2.70	0.42	3.2	17.63
Wiesinger ⊚	25885	2.54	0.08	2.7	14.97
Wiesloch ⊚	11916	2.37	0.06	6.2	14.28
Wigeon ⊚	8440	2.78	0.14	7.7	13.28
Wiggins ⊚	4099	2.57	0.08	15.6	12.87
Wightman ⊚	5161	2.85	0.08	1.5	12.74
Wikberg ⊚	15304	2.86	0.33	16.2	13.53
Wikipedia ⊚	274301	2.38	0.15	6.7	17.00
Wikrent ⊚	16947	2.24	0.15	2.0	14.96
Wilber ⊚	15109	2.37	0.08	6.7	14.89
Wilburwright ⊚	11247	3.22	0.17	5.0	13.43
Wildberg ⊚	117506	2.19	0.13	4.5	17.10
Wildcat ⊚	17493	2.74	0.44	44.4	14.60
Wild ⊚	1941	3.96	0.29	4.0	11.89
Wiles ⊚	9999	2.84	0.07	3.2	13.06
Wilfredwong ⊚	21711	2.47	0.17	11.4	14.40
Wilfriedboland ⊚	15169	3.02	0.07	1.9	14.70
Wilfriedlang ⊚	103770	3.14	0.13	16.6	14.89
Wilhelmina ⊚	392	2.88	0.14	14.3	9.79
Wilhelmraabe ⊚	14366	2.79	0.08	4.6	14.71
Wilhelms ⊚	4826	2.38	0.19	25.3	12.73
Wilhelmwien ⊚	48456	3.05	0.08	19.5	14.22
Wilkening ⊚	75562	2.55	0.11	11.7	15.29
Wilkens ⊚	1688	2.62	0.24	11.8	12.77
Wilkerson ⊚	16797	3.19	0.15	7.8	13.31
Wilke ⊚	4117	2.84	0.17	13.4	12.57
Wilkickia ⊚	5314	3.00	0.09	9.6	12.14
Willacather ⊚	14969	2.29	0.14	3.4	14.71
Willaert ⊚	7620	2.40	0.15	1.4	14.76
Willemkolff ⊚	11427	3.16	0.09	5.5	13.03
Willfrazer ⊚	34297	2.37	0.11	8.5	15.39
Willgrundy ⊚	39184	2.77	0.06	4.3	15.38
Willhayes ⊚	16258	2.47	0.13	8.6	14.56
Willhutch ⊚	33263	2.93	0.07	2.8	14.73
Williamalbrecht ⊚	268115	2.64	0.14	30.1	15.42
Williamartin ⊚	23172	2.29	0.04	0.3	15.59
Williamcaleb ⊚	21609	2.35	0.24	6.5	14.01
Williamcarl ⊚	6613	3.16	0.17	25.5	12.25
Williamcooke ⊚	3894	2.63	0.17	13.4	12.19
Williamcutlip ⊚	90317	2.34	0.13	6.3	16.23
Williamdana ⊚	8031	2.29	0.06	7.6	13.94
Williamfeldman ⊚	6756	2.68	0.18	3.6	14.00
Williamfrost ⊚	129138	2.56	0.18	3.8	16.58
Williamgoddard ⊚	27054	2.30	0.05	5.9	14.28
Williamhang ⊚	31501	2.46	0.14	2.1	15.13
Williamhodge ⊚	25082	2.76	0.22	1.8	14.96
Williamholden ⊚	9340	3.20	0.15	2.3	13.14
Williamina ⊚	5747	2.40	0.24	24.6	12.58
Williamirace ⊚	246841	2.77	0.17	2.9	17.29
Williamjin ⊚	31507	2.28	0.10	5.1	15.13
Williamkalb ⊚	24464	2.40	0.11	5.3	14.47
Williamknight ⊚	8030	3.23	0.07	7.2	12.08
Williamkuhn ⊚	40457	2.37	0.14	8.1	15.48
Williamlopes ⊚	26671	2.38	0.07	1.4	16.19
Williammarsh ⊚	128228	2.72	0.03	6.2	15.24
Williammcdonald ⊚	25163	3.17	0.03	9.6	13.83
Williammonts ⊚	28037	2.31	0.11	1.1	15.49
Williammurdoch ⊚	6012	2.63	0.34	18.3	13.22
Williamodonnell ⊚	130314	3.12	0.10	12.5	14.49
Williamon ⊚	45298	3.08	0.16	10.1	14.89
Williamprem ⊚	27556	2.48	0.05	4.4	14.20
Williamrose ⊚	34323	2.41	0.12	4.1	15.26
Williams Bay ⊚	3641	2.99	0.13	16.1	11.63
Williamschultz ⊚	50855	2.62	0.18	10.1	14.61
Williamscott ⊚	29432	3.08	0.13	2.8	14.19
Williamson ⊚	150035	3.11	0.07	11.4	14.82
Williams ⊚	1763	2.19	0.20	4.2	12.87
Williamturner ⊚	10316	3.16	0.16	5.7	12.87
Williamverts ⊚	129962	2.42	0.16	5.7	16.29
Williamwarneke ⊚	211378	2.66	0.08	9.4	16.65
Williamweber ⊚	22872	2.25	0.18	5.7	15.31
Williamwhite ⊚	27458	3.11	0.09	0.9	14.36
Williamyeats ⊚	13113	2.70	0.05	7.1	13.84
Williamyin ⊚	32101	2.53	0.20	1.2	14.76
William ⊚	270373	1.99	0.08	21.1	17.24
Williefowler ⊚	12137	2.65	0.03	5.3	14.39
Williemccool ⊚	51829	2.28	0.05	7.6	15.21
Willipete ⊚	22786	2.43	0.19	5.9	14.72
Willis ⊚	13730	2.32	0.15	6.3	14.63
Williwaw ⊚	5445	2.55	0.22	6.1	12.42
Willjaysun ⊚	25481	2.29	0.18	5.5	15.11
Willman ⊚	22498	3.17	0.16	7.0	14.03
Willnelson ⊚	22005	3.01	0.07	0.9	14.31
Willpatrick ⊚	23712	2.37	0.25	23.5	13.74
Wilmacherup ⊚	15151	2.36	0.23	2.2	14.29
Wilson-Harrington ⊚	4015	2.64	0.62	2.8	16.02
Wilson ⊚	2465	2.75	0.07	3.9	12.40
Wilwheaton ⊚	391257	2.64	0.30	10.9	16.87
Wil ⊚	2412	2.68	0.15	7.1	11.87
Wimberly ⊚	5555	3.01	0.11	10.1	12.56
Wimfroger ⊚	12132	2.66	0.14	3.0	13.97
Wimhermans ⊚	12175	3.11	0.19	2.9	13.35
Winchester ⊚	747	3.00	0.34	18.2	7.84
Winckelmann ⊚	11847	2.67	0.06	10.2	13.62
Winer ⊚	15606	2.18	0.17	3.7	14.78
Wingip ⊚	18730	2.96	0.05	2.9	13.98
Wingolfia ⊚	1556	3.43	0.11	15.7	10.54
Winifred ⊚	1575	2.37	0.18	24.8	12.17
Winigleason ⊚	22584	2.29	0.17	7.4	15.08
Winkler ⊚	6473	2.68	0.13	7.5	13.09
Winmesser ⊚	18851	2.38	0.17	3.6	14.41
Winnecke ⊚	215423	2.27	0.14	3.5	17.21
Winnewisser ⊚	99863	2.92	0.05	3.3	15.84
Winokur ⊚	17262	2.31	0.11	5.8	14.56
Winslow ⊚	8270	2.18	0.17	4.4	14.29
Winstonscott ⊚	103734	2.39	0.24	9.4	15.98
Winters ⊚	15111	2.35	0.25	5.4	14.81
Winterthur ⊚	43669	2.62	0.14	13.0	15.08
Winton ⊚	19384	2.20	0.18	3.0	15.12
Wirt ⊚	2044	2.38	0.34	24.0	13.19
Wischnewski ⊚	227770	2.20	0.14	4.3	17.90
Wisdom ⊚	3402	2.13	0.28	4.9	15.10
Wisibada ⊚	717	3.14	0.26	1.6	10.99
Wislicenus ⊚	4588	2.95	0.09	9.8	12.11
Wisniewski ⊚	2256	3.09	0.17	0.5	12.20
Wisniowiecki ⊚	25348	2.26	0.06	6.6	15.28
Wisse ⊚	4295	2.45	0.16	2.3	14.22
Wissnergross ⊚	16022	2.36	0.17	2.1	15.31
Witherspoon ⊚	90487	3.24	0.02	21.4	14.51
Witsen ⊚	10653	3.65	0.01	3.3	12.48
Wittelsbach ⊚	90712	2.76	0.24	8.8	15.29
Wittenberg ⊚	279723	2.57	0.30	3.0	16.94
Witten ⊚	11349	2.38	0.13	5.5	15.03
Wittig ⊚	11404	3.16	0.14	1.5	13.67
Witt ⊚	2732	2.76	0.02	6.5	11.91
WIYN ⊚	4299	2.24	0.17	5.1	12.91
Wladilena ⊚	852	2.36	0.28	23.0	10.11
Wladimarinello ⊚	229836	3.00	0.05	10.9	16.24
Wladimirneumann ⊚	11461	2.28	0.10	5.9	14.23
Wlodarczyk ⊚	324787	3.08	0.10	17.2	15.37
Wlodekofman ⊚	13368	2.95	0.08	2.8	13.93
Wodan ⊚	2155	2.86	0.08	2.5	12.46
Wodehouse ⊚	4608	2.36	0.22	7.4	12.86
Wodetzky ⊚	53029	2.40	0.04	6.0	15.05
Woerlitz ⊚	32724	3.95	0.14	9.9	13.57
Wojakowski ⊚	21846	2.40	0.11	1.7	15.15
Wojtania ⊚	32089	2.39	0.15	1.3	15.52
Wolbern ⊚	13908	2.21	0.14	4.1	15.26
Wolfernst ⊚	7686	2.27	0.08	4.7	13.95
Wolff ⊚	5674	2.36	0.17	1.7	13.46
Wolfgangbusch ⊚	576373	2.75	0.05	3.2	17.54
Wolfgangbuttner ⊚	236111	2.17	0.17	5.8	17.60
Wolfganghansch ⊚	234292	2.59	0.16	4.3	16.39
Wolfgangmattig ⊚	4723	2.68	0.20	3.1	13.92
Wolfgangpauli ⊚	13093	2.99	0.06	10.1	12.57
Wolfgangries ⊚	266887	2.61	0.17	3.4	16.69
Wolfiana ⊚	827	2.27	0.16	3.4	13.19
Wolflojewski ⊚	14412	2.28	0.09	4.5	14.70
Wolfratshausen ⊚	18520	2.68	0.19	3.6	15.15
Wolfson ⊚	20304	2.39	0.15	5.6	15.05
Wolfwacker ⊚	30829	2.30	0.15	4.4	14.62
Wolinski ⊚	293499	3.08	0.06	11.8	15.70
Wolkenstein ⊚	8316	3.00	0.12	9.5	11.91
Wollstonecraft ⊚	90481	2.80	0.24	9.1	15.48
Wolpert ⊚	21699	3.11	0.18	3.0	13.86
Woltjer ⊚	1795	2.79	0.19	7.5	12.11
Womack ⊚	229614	2.86	0.06	1.3	16.43
Wombat ⊚	6827	2.60	0.15	12.9	12.71
Wonaszek ⊚	75555	2.47	0.09	6.4	16.27
Wongkakui ⊚	41742	2.41	0.08	2.2	14.82
Wongkwancheng ⊚	4651	2.85	0.06	1.7	13.13
Wongshingsheuk ⊚	88874	2.91	0.07	3.2	14.93
Wongsumming ⊚	31907	2.24	0.12	1.9	15.83
Wong ⊚	27061	2.14	0.07	2.6	15.64
Woodall ⊚	13732	2.37	0.10	6.0	14.47
Woodard ⊚	7549	3.00	0.09	9.7	13.12
Wooden ⊚	17241	2.60	0.19	14.4	13.81
Woodjohn ⊚	28785	2.58	0.04	1.2	14.38
Woodney ⊚	13001	2.33	0.16	3.8	14.49
Wood ⊚	1660	2.40	0.30	20.6	11.72
Woolston ⊚	13038	2.98	0.04	8.0	13.69
Woolum ⊚	7550	2.29	0.19	5.5	14.55
Woomera ⊚	11195	2.32	0.11	3.1	14.22
Wootensmith ⊚	21630	2.19	0.05	1.2	14.98
Workman ⊚	22994	2.92	0.11	3.0	14.48
Worley ⊚	7011	2.27	0.15	5.7	14.35
Worms ⊚	100046	2.52	0.09	4.2	14.79
Worpswede ⊚	9742	3.19	0.11	4.6	12.83
Woszczyk ⊚	14382	2.90	0.06	1.4	13.35
Wotho ⊚	2218	3.04	0.16	14.9	11.32
Wratislavia ⊚	690	3.15	0.18	11.3	8.06
Wray ⊚	19721	2.98	0.11	13.9	12.69
Wren ⊚	3062	3.02	0.11	11.3	10.91
Wright ⊚	1747	1.71	0.11	21.4	13.65
Wronski ⊚	33017	3.16	0.03	10.0	12.99
Wrubel ⊚	1765	3.18	0.18	19.9	10.05
Wubbena ⊚	10976	2.74	0.02	6.1	13.91
Wu Chien-Shiung ⊚	2752	3.02	0.11	10.1	11.66
Wudeshi ⊚	483488	2.24	0.17	2.5	18.40
Wudia ⊚	76713	3.17	0.02	5.8	14.78
Wuhan ⊚	3206	2.55	0.24	8.7	13.36
Wuheng ⊚	56088	2.62	0.16	13.3	14.08
Wuhuiyi ⊚	34028	2.25	0.11	4.1	15.35
Wujek ⊚	3987	2.73	0.12	4.8	12.25
Wujunjun ⊚	26727	2.57	0.17	8.3	14.63
Wuliangyong ⊚	9221	2.27	0.18	2.4	14.44
Wulumuqiyizhong ⊚	546845	1.90	0.06	19.2	18.65
Wumengchao ⊚	17606	2.61	0.30	13.6	14.23
Wuminchun ⊚	23274	2.99	0.07	9.2	14.52
Wunderlich ⊚	20347	2.74	0.09	5.8	14.48
Wundt ⊚	11040	2.24	0.20	0.9	15.57
Wunibaldkamm ⊚	22499	3.07	0.12	12.5	14.10
Wupatki ⊚	75223	2.39	0.20	3.2	14.88
Wuqijin ⊚	26323	2.35	0.11	6.1	14.29
Wurm ⊚	1785	2.24	0.07	3.8	12.66
Wurttemberg ⊚	5904	2.84	0.11	3.1	13.41
Wurukang ⊚	317452	2.54	0.17	15.9	17.24
Wutayou ⊚	256892	2.35	0.13	2.9	17.01
Wuweiren ⊚	281880	3.21	0.13	17.2	15.34
Wuwenjun ⊚	7683	2.26	0.12	7.1	14.06
Wuyeesun ⊚	3570	3.02	0.09	11.3	11.28
Wuzhengyi ⊚	175718	2.37	0.15	2.3	16.95
Wuzuze ⊚	207809	3.12	0.10	10.7	15.12
Wu ⊚	2705	2.19	0.16	4.5	13.41
Wyattpontius ⊚	32060	2.91	0.19	1.4	14.46
Wyeth ⊚	5090	2.53	0.29	9.6	13.01
Wygoda ⊚	15160	2.62	0.23	5.2	15.12
Wykrota ⊚	29845	2.41	0.16	13.9	14.26
Wylie ⊚	126444	2.44	0.09	15.1	15.81
Wysner ⊚	18128	2.27	0.12	5.5	15.08

Names beginning with V Names beginning with X Alphabetical Index
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by John Walker
Last updated: 2022-03-22 22:25 UTC

Object Catalogue: Named Asteroids Beginning with W

Object Catalogue:
Named Asteroids Beginning with W